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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 "cells": [
  {
   "source": [
    "下载好的dogs-vs-cats里边包含train文件夹和test文件夹，其中train文件夹中的图片是带标签的，train文件夹中一共有25000个文件，一半是猫一半是狗。  \n",
    "  \n",
    "训练集太多，现在创建一个新的子集：猫狗两个类别各有1000个训练样本、500个验证样本和500个测试样本。"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"将图像复制到训练、验证和测试的目录\"\"\"\n",
    "import os, shutil\n",
    "\n",
    "# 原来存放train训练集的地址（这里是我自己的文件夹）\n",
    "original_dataset_dir = 'D:\\\\BaiduNetdiskDownload\\\\DLdata\\\\dogs-vs-cats\\\\train\\\\train'\n",
    "# 保存新的数据集的目录（也是我自己的）\n",
    "base_dir = 'D:\\\\BaiduNetdiskDownload\\\\DLdata\\\\dogs-vs-cats\\\\cats_and_dogs_small'\n",
    "\n",
    "# 创建主要目录\n",
    "shutil.rmtree(base_dir, ignore_errors=True)  # 强制删除有文件的目录\n",
    "os.mkdir(base_dir) \n",
    "train_dir = os.path.join(base_dir, 'train')\n",
    "os.mkdir(train_dir) \n",
    "validation_dir = os.path.join(base_dir, 'validation')\n",
    "os.mkdir(validation_dir) \n",
    "test_dir = os.path.join(base_dir, 'test') \n",
    "os.mkdir(test_dir) \n",
    "\n",
    "# 猫的训练集图像目录\n",
    "train_cats_dir = os.path.join(train_dir, 'cats')\n",
    "os.mkdir(train_cats_dir) \n",
    "# 狗的训练图像目录 \n",
    "train_dogs_dir = os.path.join(train_dir, 'dogs') \n",
    "os.mkdir(train_dogs_dir) \n",
    "\n",
    "# 猫和狗的验证集图像目录\n",
    "validation_cats_dir = os.path.join(validation_dir, 'cats') \n",
    "os.mkdir(validation_cats_dir) \n",
    "validation_dogs_dir = os.path.join(validation_dir, 'dogs') \n",
    "os.mkdir(validation_dogs_dir) \n",
    "\n",
    "# 猫和狗的测试集图像目录 \n",
    "test_cats_dir = os.path.join(test_dir, 'cats') \n",
    "os.mkdir(test_cats_dir) \n",
    "test_dogs_dir = os.path.join(test_dir, 'dogs') \n",
    "os.mkdir(test_dogs_dir) \n",
    "\n",
    "\n",
    "# 将前1000张猫的图像复制到train_cats_dir，接着500张复制到validation_cats_dir，再500张复制到test_cats_dir，狗同理\n",
    "# 猫的\n",
    "fnames = ['cat.{}.jpg'.format(i) for i in range(1000)] \n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname) \n",
    "    dst = os.path.join(train_cats_dir, fname) \n",
    "    shutil.copyfile(src, dst) \n",
    "\n",
    "fnames = ['cat.{}.jpg'.format(i) for i in range(1000, 1500)] \n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname) \n",
    "    dst = os.path.join(validation_cats_dir, fname) \n",
    "    shutil.copyfile(src, dst) \n",
    "\n",
    "fnames = ['cat.{}.jpg'.format(i) for i in range(1500, 2000)]\n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname)\n",
    "    dst = os.path.join(test_cats_dir, fname) \n",
    "    shutil.copyfile(src, dst) \n",
    "\n",
    "# 狗的 \n",
    "fnames = ['dog.{}.jpg'.format(i) for i in range(1000)] \n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname) \n",
    "    dst = os.path.join(train_dogs_dir, fname) \n",
    "    shutil.copyfile(src, dst) \n",
    "\n",
    "fnames = ['dog.{}.jpg'.format(i) for i in range(1000, 1500)] \n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname) \n",
    "    dst = os.path.join(validation_dogs_dir, fname) \n",
    "    shutil.copyfile(src, dst) \n",
    "\n",
    "fnames = ['dog.{}.jpg'.format(i) for i in range(1500, 2000)]\n",
    "for fname in fnames:\n",
    "    src = os.path.join(original_dataset_dir, fname)\n",
    "    dst = os.path.join(test_dogs_dir, fname) \n",
    "    shutil.copyfile(src, dst) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Model: \"sequential\"\n_________________________________________________________________\nLayer (type)                 Output Shape              Param #   \n=================================================================\nconv2d (Conv2D)              (None, 148, 148, 32)      896       \n_________________________________________________________________\nmax_pooling2d (MaxPooling2D) (None, 74, 74, 32)        0         \n_________________________________________________________________\nconv2d_1 (Conv2D)            (None, 72, 72, 64)        18496     \n_________________________________________________________________\nmax_pooling2d_1 (MaxPooling2 (None, 36, 36, 64)        0         \n_________________________________________________________________\nconv2d_2 (Conv2D)            (None, 34, 34, 128)       73856     \n_________________________________________________________________\nmax_pooling2d_2 (MaxPooling2 (None, 17, 17, 128)       0         \n_________________________________________________________________\nconv2d_3 (Conv2D)            (None, 15, 15, 128)       147584    \n_________________________________________________________________\nmax_pooling2d_3 (MaxPooling2 (None, 7, 7, 128)         0         \n_________________________________________________________________\nflatten (Flatten)            (None, 6272)              0         \n_________________________________________________________________\ndense (Dense)                (None, 512)               3211776   \n_________________________________________________________________\ndense_1 (Dense)              (None, 1)                 513       \n=================================================================\nTotal params: 3,453,121\nTrainable params: 3,453,121\nNon-trainable params: 0\n_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# 构建深度学习卷积神经网络\n",
    "from keras import layers \n",
    "from keras import models \n",
    "\n",
    "model = models.Sequential() \n",
    "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 3)))\n",
    "model.add(layers.MaxPooling2D((2, 2)))\n",
    "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Conv2D(128, (3, 3), activation='relu')) \n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Flatten()) \n",
    "model.add(layers.Dense(512, activation='relu')) \n",
    "model.add(layers.Dense(1, activation='sigmoid')) \n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 配置模型用于训练 \n",
    "from keras import optimizers \n",
    "\n",
    "model.compile(loss='binary_crossentropy', optimizer=optimizers.RMSprop(lr=1e-4), metrics=['acc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Found 2000 images belonging to 2 classes.\nFound 1000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"数据预处理，要将jpg的图片转化为float型的张量，步骤如下\n",
    "1）读取图像文件\n",
    "2）将JPEG文件解码为RGB像素网格\n",
    "3）将这些像素网格转换为float类型的张量\n",
    "4）将像素值（0~255）缩放到[0, 1]区间（标准化）\n",
    "\"\"\"\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "train_datagen = ImageDataGenerator(rescale=1. / 255)\n",
    "test_datagen = ImageDataGenerator(rescale=1. / 255) \n",
    "\n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "    train_dir, \n",
    "    target_size=(150, 150), \n",
    "    batch_size=20, \n",
    "    class_mode='binary'  # 因为使用了binary_crossentropy损失，所以需要用二进制标签\n",
    ")\n",
    "\n",
    "validation_generator = test_datagen.flow_from_directory(\n",
    "    validation_dir, \n",
    "    target_size=(150, 150), \n",
    "    batch_size=20, \n",
    "    class_mode='binary'\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Epoch 1/30\n",
      "100/100 [==============================] - 63s 619ms/step - loss: 0.6983 - acc: 0.5303 - val_loss: 0.6880 - val_acc: 0.5210\n",
      "Epoch 2/30\n",
      "100/100 [==============================] - 93s 929ms/step - loss: 0.6725 - acc: 0.5933 - val_loss: 0.6498 - val_acc: 0.6440\n",
      "Epoch 3/30\n",
      "100/100 [==============================] - 89s 888ms/step - loss: 0.6216 - acc: 0.6694 - val_loss: 0.6934 - val_acc: 0.5730\n",
      "Epoch 4/30\n",
      "100/100 [==============================] - 83s 828ms/step - loss: 0.5885 - acc: 0.6979 - val_loss: 0.5933 - val_acc: 0.6800\n",
      "Epoch 5/30\n",
      "100/100 [==============================] - 80s 803ms/step - loss: 0.5254 - acc: 0.7550 - val_loss: 0.5713 - val_acc: 0.6920\n",
      "Epoch 6/30\n",
      "100/100 [==============================] - 81s 811ms/step - loss: 0.5146 - acc: 0.7579 - val_loss: 0.5659 - val_acc: 0.7100\n",
      "Epoch 7/30\n",
      "100/100 [==============================] - 83s 834ms/step - loss: 0.4822 - acc: 0.7560 - val_loss: 0.5529 - val_acc: 0.7100\n",
      "Epoch 8/30\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.4539 - acc: 0.7933 - val_loss: 0.6268 - val_acc: 0.6780\n",
      "Epoch 9/30\n",
      "100/100 [==============================] - 81s 807ms/step - loss: 0.4256 - acc: 0.8073 - val_loss: 0.5687 - val_acc: 0.7140\n",
      "Epoch 10/30\n",
      "100/100 [==============================] - 83s 831ms/step - loss: 0.3974 - acc: 0.8360 - val_loss: 0.5397 - val_acc: 0.7390\n",
      "Epoch 11/30\n",
      "100/100 [==============================] - 82s 823ms/step - loss: 0.3589 - acc: 0.8503 - val_loss: 0.5374 - val_acc: 0.7330\n",
      "Epoch 12/30\n",
      "100/100 [==============================] - 83s 824ms/step - loss: 0.3371 - acc: 0.8462 - val_loss: 0.5745 - val_acc: 0.7190\n",
      "Epoch 13/30\n",
      "100/100 [==============================] - 82s 821ms/step - loss: 0.3097 - acc: 0.8760 - val_loss: 0.5689 - val_acc: 0.7390\n",
      "Epoch 14/30\n",
      "100/100 [==============================] - 78s 782ms/step - loss: 0.2863 - acc: 0.8784 - val_loss: 0.6951 - val_acc: 0.6960\n",
      "Epoch 15/30\n",
      "100/100 [==============================] - 79s 794ms/step - loss: 0.2847 - acc: 0.8676 - val_loss: 0.6108 - val_acc: 0.7280\n",
      "Epoch 16/30\n",
      "100/100 [==============================] - 78s 784ms/step - loss: 0.2320 - acc: 0.9188 - val_loss: 0.7430 - val_acc: 0.6940\n",
      "Epoch 17/30\n",
      "100/100 [==============================] - 77s 771ms/step - loss: 0.2155 - acc: 0.9139 - val_loss: 0.6306 - val_acc: 0.7170\n",
      "Epoch 18/30\n",
      "100/100 [==============================] - 77s 774ms/step - loss: 0.2004 - acc: 0.9276 - val_loss: 0.8247 - val_acc: 0.7000\n",
      "Epoch 19/30\n",
      "100/100 [==============================] - 77s 767ms/step - loss: 0.1745 - acc: 0.9399 - val_loss: 0.6606 - val_acc: 0.7200\n",
      "Epoch 20/30\n",
      "100/100 [==============================] - 77s 767ms/step - loss: 0.1609 - acc: 0.9469 - val_loss: 0.7281 - val_acc: 0.7160\n",
      "Epoch 21/30\n",
      "100/100 [==============================] - 74s 741ms/step - loss: 0.1430 - acc: 0.9511 - val_loss: 0.7319 - val_acc: 0.7240\n",
      "Epoch 22/30\n",
      "100/100 [==============================] - 75s 751ms/step - loss: 0.1158 - acc: 0.9641 - val_loss: 0.8124 - val_acc: 0.7150\n",
      "Epoch 23/30\n",
      "100/100 [==============================] - 77s 771ms/step - loss: 0.1045 - acc: 0.9683 - val_loss: 0.9778 - val_acc: 0.6880\n",
      "Epoch 24/30\n",
      "100/100 [==============================] - 79s 785ms/step - loss: 0.1088 - acc: 0.9678 - val_loss: 0.8136 - val_acc: 0.7290\n",
      "Epoch 25/30\n",
      "100/100 [==============================] - 76s 763ms/step - loss: 0.0694 - acc: 0.9793 - val_loss: 0.8343 - val_acc: 0.7120\n",
      "Epoch 26/30\n",
      "100/100 [==============================] - 75s 752ms/step - loss: 0.0611 - acc: 0.9850 - val_loss: 0.8769 - val_acc: 0.7250\n",
      "Epoch 27/30\n",
      "100/100 [==============================] - 75s 752ms/step - loss: 0.0521 - acc: 0.9877 - val_loss: 0.8798 - val_acc: 0.7330\n",
      "Epoch 28/30\n",
      "100/100 [==============================] - 76s 760ms/step - loss: 0.0562 - acc: 0.9829 - val_loss: 1.1712 - val_acc: 0.7000\n",
      "Epoch 29/30\n",
      "100/100 [==============================] - 74s 736ms/step - loss: 0.0509 - acc: 0.9846 - val_loss: 0.9772 - val_acc: 0.7340\n",
      "Epoch 30/30\n",
      "100/100 [==============================] - 73s 726ms/step - loss: 0.0315 - acc: 0.9924 - val_loss: 1.0305 - val_acc: 0.7250\n"
     ]
    }
   ],
   "source": [
    "# 利用批量生成器拟合模型\n",
    "history = model.fit_generator(\n",
    "    train_generator, \n",
    "    steps_per_epoch=100, \n",
    "    epochs=30, \n",
    "    validation_data=validation_generator, \n",
    "    validation_steps=50\n",
    ")\n",
    "\n",
    "# 保存模型\n",
    "model.save('cats_and_dogs_small_1.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# 绘制训练过程中的损失曲线和精度曲线\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "acc = history.history['acc'] \n",
    "val_acc = history.history['val_acc'] \n",
    "loss = history.history['loss'] \n",
    "val_loss = history.history['val_loss'] \n",
    "\n",
    "epochs = range(1, len(acc) + 1) \n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc') \n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc') \n",
    "plt.title('Training and Validation accuracy') \n",
    "plt.legend() \n",
    "\n",
    "plt.figure() \n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss') \n",
    "plt.plot(epochs, val_loss, 'b', label='Validaion loss') \n",
    "plt.title('Training and validation loss') \n",
    "plt.legend() \n",
    "\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "\"\"\"从上面的两张图可以明显看出过拟合了，主要原因是训练样本相对较少\n",
    "   下面利用ImageDataGenerator来设置数据增强来‘增加’训练样本\n",
    "\"\"\"\n",
    "datagen = ImageDataGenerator(\n",
    "    rotation_range=40,       # 图像随机旋转0~40度（最大80度）\n",
    "    width_shift_range=0.2,   # 水平方向上平移\n",
    "    height_shift_range=0.2,  # 垂直方向上平移\n",
    "    shear_range=0.2,         # 随机错切变换的角度\n",
    "    zoom_range=0.2,          # 图像随机缩放的范围\n",
    "    horizontal_flip=True,    # 随机将一半图像水平翻转\n",
    "    fill_mode='nearest'      # 用于填充新创建像素的方法，这些新像素可能来自于旋转或宽度/高度平移\n",
    ")\n",
    "\n",
    "# 显示几个随机增强后的训练图像\n",
    "from keras.preprocessing import image \n",
    "\n",
    "fnames = [os.path.join(train_cats_dir, fname) for fname in os.listdir(train_cats_dir)]\n",
    "img_path = fnames[3]  # 选择一张图进行增强\n",
    "img = image.load_img(img_path, target_size=(150, 150))\n",
    "x = image.img_to_array(img)  # 将其转换为形状（150， 150， 3）的numpy数组\n",
    "x = x.reshape((1, ) + x.shape)  # 将其形状改变为（1，150，150，3）\n",
    "\n",
    "i = 0\n",
    "for batch in datagen.flow(x, batch_size=1):\n",
    "    plt.figure(i) \n",
    "    i += 1\n",
    "    imgplot = plt.imshow(image.array_to_img(batch[0])) \n",
    "    if i % 4 == 0:\n",
    "        break \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义一个包含dropout层的新卷积神经网络，dropout层能有效避免过拟合 \n",
    "model = models.Sequential() \n",
    "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 3)))\n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Conv2D(64, (3, 3), activation='relu')) \n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Conv2D(128, (3, 3), activation='relu')) \n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Conv2D(128, (3, 3), activation='relu')) \n",
    "model.add(layers.MaxPooling2D((2, 2))) \n",
    "model.add(layers.Flatten()) \n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.Dense(512, activation='relu')) \n",
    "model.add(layers.Dense(1, activation='sigmoid')) \n",
    "\n",
    "model.compile(loss='binary_crossentropy', optimizer=optimizers.RMSprop(lr=1e-4), metrics=['acc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Found 2000 images belonging to 2 classes.\n",
      "Found 1000 images belonging to 2 classes.\n",
      "Epoch 1/100\n",
      "50/50 [==============================] - 44s 873ms/step - loss: 0.7012 - acc: 0.4747 - val_loss: 0.6890 - val_acc: 0.5406\n",
      "Epoch 2/100\n",
      "50/50 [==============================] - 43s 859ms/step - loss: 0.6901 - acc: 0.5578 - val_loss: 0.6815 - val_acc: 0.5813\n",
      "Epoch 3/100\n",
      "50/50 [==============================] - 43s 855ms/step - loss: 0.6832 - acc: 0.5656 - val_loss: 0.6669 - val_acc: 0.5719\n",
      "Epoch 4/100\n",
      "50/50 [==============================] - 43s 857ms/step - loss: 0.6743 - acc: 0.5977 - val_loss: 0.6427 - val_acc: 0.6219\n",
      "Epoch 5/100\n",
      "50/50 [==============================] - 43s 863ms/step - loss: 0.6612 - acc: 0.6154 - val_loss: 0.6728 - val_acc: 0.5469\n",
      "Epoch 6/100\n",
      "50/50 [==============================] - 43s 862ms/step - loss: 0.6539 - acc: 0.6162 - val_loss: 0.6238 - val_acc: 0.6281\n",
      "Epoch 7/100\n",
      "50/50 [==============================] - 43s 856ms/step - loss: 0.6576 - acc: 0.6122 - val_loss: 0.6213 - val_acc: 0.6719\n",
      "Epoch 8/100\n",
      "50/50 [==============================] - 45s 896ms/step - loss: 0.6569 - acc: 0.6159 - val_loss: 0.6190 - val_acc: 0.6531\n",
      "Epoch 9/100\n",
      "50/50 [==============================] - 43s 858ms/step - loss: 0.6389 - acc: 0.6330 - val_loss: 0.6480 - val_acc: 0.6125\n",
      "Epoch 10/100\n",
      "50/50 [==============================] - 43s 858ms/step - loss: 0.6209 - acc: 0.6612 - val_loss: 0.5932 - val_acc: 0.6687\n",
      "Epoch 11/100\n",
      "50/50 [==============================] - 43s 862ms/step - loss: 0.6193 - acc: 0.6493 - val_loss: 0.5893 - val_acc: 0.6656\n",
      "Epoch 12/100\n",
      "50/50 [==============================] - 43s 860ms/step - loss: 0.6312 - acc: 0.6573 - val_loss: 0.6022 - val_acc: 0.6687\n",
      "Epoch 13/100\n",
      "50/50 [==============================] - 43s 855ms/step - loss: 0.6136 - acc: 0.6700 - val_loss: 0.5820 - val_acc: 0.6875\n",
      "Epoch 14/100\n",
      "50/50 [==============================] - 42s 847ms/step - loss: 0.5964 - acc: 0.6815 - val_loss: 0.5772 - val_acc: 0.7000\n",
      "Epoch 15/100\n",
      "50/50 [==============================] - 43s 857ms/step - loss: 0.6046 - acc: 0.6654 - val_loss: 0.5776 - val_acc: 0.6719\n",
      "Epoch 16/100\n",
      "50/50 [==============================] - 43s 866ms/step - loss: 0.6065 - acc: 0.6653 - val_loss: 0.5889 - val_acc: 0.7031\n",
      "Epoch 17/100\n",
      "50/50 [==============================] - 43s 858ms/step - loss: 0.6009 - acc: 0.6666 - val_loss: 0.6154 - val_acc: 0.6469\n",
      "Epoch 18/100\n",
      "50/50 [==============================] - 43s 854ms/step - loss: 0.5786 - acc: 0.6915 - val_loss: 0.5401 - val_acc: 0.7281\n",
      "Epoch 19/100\n",
      "50/50 [==============================] - 43s 865ms/step - loss: 0.5803 - acc: 0.6980 - val_loss: 0.5260 - val_acc: 0.7125\n",
      "Epoch 20/100\n",
      "50/50 [==============================] - 44s 870ms/step - loss: 0.5828 - acc: 0.7017 - val_loss: 0.5692 - val_acc: 0.6750\n",
      "Epoch 21/100\n",
      "50/50 [==============================] - 43s 855ms/step - loss: 0.5801 - acc: 0.6963 - val_loss: 0.5646 - val_acc: 0.6687\n",
      "Epoch 22/100\n",
      "50/50 [==============================] - 43s 862ms/step - loss: 0.5563 - acc: 0.7139 - val_loss: 0.5976 - val_acc: 0.6500\n",
      "Epoch 23/100\n",
      "50/50 [==============================] - 43s 858ms/step - loss: 0.5686 - acc: 0.6945 - val_loss: 0.5550 - val_acc: 0.7188\n",
      "Epoch 24/100\n",
      "50/50 [==============================] - 47s 943ms/step - loss: 0.5673 - acc: 0.6924 - val_loss: 0.5388 - val_acc: 0.7156\n",
      "Epoch 25/100\n",
      "50/50 [==============================] - 47s 939ms/step - loss: 0.5626 - acc: 0.7004 - val_loss: 0.5434 - val_acc: 0.7063\n",
      "Epoch 26/100\n",
      "50/50 [==============================] - 47s 937ms/step - loss: 0.5336 - acc: 0.7137 - val_loss: 0.5195 - val_acc: 0.7250\n",
      "Epoch 27/100\n",
      "50/50 [==============================] - 47s 931ms/step - loss: 0.5548 - acc: 0.7216 - val_loss: 0.5500 - val_acc: 0.7125\n",
      "Epoch 28/100\n",
      "50/50 [==============================] - 48s 953ms/step - loss: 0.5412 - acc: 0.7160 - val_loss: 0.6684 - val_acc: 0.6062\n",
      "Epoch 29/100\n",
      "50/50 [==============================] - 47s 943ms/step - loss: 0.5556 - acc: 0.7104 - val_loss: 0.5195 - val_acc: 0.7281\n",
      "Epoch 30/100\n",
      "50/50 [==============================] - 47s 932ms/step - loss: 0.5269 - acc: 0.7259 - val_loss: 0.5751 - val_acc: 0.6781\n",
      "Epoch 31/100\n",
      "50/50 [==============================] - 50s 994ms/step - loss: 0.5322 - acc: 0.7237 - val_loss: 0.5431 - val_acc: 0.7000\n",
      "Epoch 32/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.5413 - acc: 0.7350 - val_loss: 0.5056 - val_acc: 0.7625\n",
      "Epoch 33/100\n",
      "50/50 [==============================] - 49s 977ms/step - loss: 0.5360 - acc: 0.7228 - val_loss: 0.5197 - val_acc: 0.7656\n",
      "Epoch 34/100\n",
      "50/50 [==============================] - 48s 964ms/step - loss: 0.5365 - acc: 0.7408 - val_loss: 0.4750 - val_acc: 0.7250\n",
      "Epoch 35/100\n",
      "50/50 [==============================] - 48s 943ms/step - loss: 0.5262 - acc: 0.7286 - val_loss: 0.5225 - val_acc: 0.7063\n",
      "Epoch 36/100\n",
      "50/50 [==============================] - 47s 937ms/step - loss: 0.5124 - acc: 0.7395 - val_loss: 0.5998 - val_acc: 0.6906\n",
      "Epoch 37/100\n",
      "50/50 [==============================] - 44s 883ms/step - loss: 0.5204 - acc: 0.7436 - val_loss: 0.4879 - val_acc: 0.7656\n",
      "Epoch 38/100\n",
      "50/50 [==============================] - 47s 942ms/step - loss: 0.5223 - acc: 0.7486 - val_loss: 0.5292 - val_acc: 0.7250\n",
      "Epoch 39/100\n",
      "50/50 [==============================] - 56s 1s/step - loss: 0.5431 - acc: 0.7363 - val_loss: 0.5354 - val_acc: 0.7312\n",
      "Epoch 40/100\n",
      "50/50 [==============================] - 45s 901ms/step - loss: 0.5281 - acc: 0.7268 - val_loss: 0.5048 - val_acc: 0.7563\n",
      "Epoch 41/100\n",
      "50/50 [==============================] - 50s 1s/step - loss: 0.5386 - acc: 0.7117 - val_loss: 0.4881 - val_acc: 0.7531\n",
      "Epoch 42/100\n",
      "50/50 [==============================] - 52s 1s/step - loss: 0.4901 - acc: 0.7714 - val_loss: 0.4694 - val_acc: 0.7844\n",
      "Epoch 43/100\n",
      "50/50 [==============================] - 52s 1s/step - loss: 0.5132 - acc: 0.7502 - val_loss: 0.4981 - val_acc: 0.7563\n",
      "Epoch 44/100\n",
      "50/50 [==============================] - 52s 1s/step - loss: 0.5172 - acc: 0.7502 - val_loss: 0.4926 - val_acc: 0.7594\n",
      "Epoch 45/100\n",
      "50/50 [==============================] - 56s 1s/step - loss: 0.5071 - acc: 0.7512 - val_loss: 0.4995 - val_acc: 0.7344\n",
      "Epoch 46/100\n",
      "50/50 [==============================] - 48s 959ms/step - loss: 0.4894 - acc: 0.7660 - val_loss: 0.5789 - val_acc: 0.6781\n",
      "Epoch 47/100\n",
      "50/50 [==============================] - 45s 893ms/step - loss: 0.5118 - acc: 0.7466 - val_loss: 0.4699 - val_acc: 0.7781\n",
      "Epoch 48/100\n",
      "50/50 [==============================] - 48s 960ms/step - loss: 0.4861 - acc: 0.7661 - val_loss: 0.4748 - val_acc: 0.7531\n",
      "Epoch 49/100\n",
      "50/50 [==============================] - 52s 1s/step - loss: 0.5242 - acc: 0.7295 - val_loss: 0.4978 - val_acc: 0.7469\n",
      "Epoch 50/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4855 - acc: 0.7768 - val_loss: 0.4414 - val_acc: 0.8156\n",
      "Epoch 51/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.5084 - acc: 0.7480 - val_loss: 0.4612 - val_acc: 0.7563\n",
      "Epoch 52/100\n",
      "50/50 [==============================] - 56s 1s/step - loss: 0.5011 - acc: 0.7568 - val_loss: 0.4826 - val_acc: 0.7719\n",
      "Epoch 53/100\n",
      "50/50 [==============================] - 56s 1s/step - loss: 0.5017 - acc: 0.7745 - val_loss: 0.4626 - val_acc: 0.7812\n",
      "Epoch 54/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4854 - acc: 0.7681 - val_loss: 0.4760 - val_acc: 0.7469\n",
      "Epoch 55/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4897 - acc: 0.7417 - val_loss: 0.5393 - val_acc: 0.7125\n",
      "Epoch 56/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4822 - acc: 0.7683 - val_loss: 0.4723 - val_acc: 0.7656\n",
      "Epoch 57/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4943 - acc: 0.7613 - val_loss: 0.4549 - val_acc: 0.7812\n",
      "Epoch 58/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4697 - acc: 0.7754 - val_loss: 0.4754 - val_acc: 0.7625\n",
      "Epoch 59/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4464 - acc: 0.7926 - val_loss: 0.5815 - val_acc: 0.7312\n",
      "Epoch 60/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4647 - acc: 0.7758 - val_loss: 0.4336 - val_acc: 0.7781\n",
      "Epoch 61/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4838 - acc: 0.7759 - val_loss: 0.4318 - val_acc: 0.8000\n",
      "Epoch 62/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4783 - acc: 0.7628 - val_loss: 0.4820 - val_acc: 0.7781\n",
      "Epoch 63/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4674 - acc: 0.7886 - val_loss: 0.5159 - val_acc: 0.7312\n",
      "Epoch 64/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4780 - acc: 0.7738 - val_loss: 0.5567 - val_acc: 0.7000\n",
      "Epoch 65/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4809 - acc: 0.7693 - val_loss: 0.4438 - val_acc: 0.7844\n",
      "Epoch 66/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4834 - acc: 0.7724 - val_loss: 0.5757 - val_acc: 0.7219\n",
      "Epoch 67/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4993 - acc: 0.7452 - val_loss: 0.4456 - val_acc: 0.8094\n",
      "Epoch 68/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4575 - acc: 0.7876 - val_loss: 0.4486 - val_acc: 0.8000\n",
      "Epoch 69/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4639 - acc: 0.7729 - val_loss: 0.4516 - val_acc: 0.7750\n",
      "Epoch 70/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4598 - acc: 0.7672 - val_loss: 0.4237 - val_acc: 0.8000\n",
      "Epoch 71/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4694 - acc: 0.7755 - val_loss: 0.4413 - val_acc: 0.7969\n",
      "Epoch 72/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4752 - acc: 0.7681 - val_loss: 0.3915 - val_acc: 0.8344\n",
      "Epoch 73/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4678 - acc: 0.7731 - val_loss: 0.5228 - val_acc: 0.7563\n",
      "Epoch 74/100\n",
      "50/50 [==============================] - 53s 1s/step - loss: 0.4697 - acc: 0.7739 - val_loss: 0.4714 - val_acc: 0.7906\n",
      "Epoch 75/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4624 - acc: 0.7961 - val_loss: 0.5193 - val_acc: 0.7625\n",
      "Epoch 76/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4336 - acc: 0.7932 - val_loss: 0.4356 - val_acc: 0.8000\n",
      "Epoch 77/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4668 - acc: 0.7841 - val_loss: 0.5573 - val_acc: 0.7063\n",
      "Epoch 78/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4597 - acc: 0.7726 - val_loss: 0.4049 - val_acc: 0.8031\n",
      "Epoch 79/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4894 - acc: 0.7504 - val_loss: 0.4797 - val_acc: 0.7781\n",
      "Epoch 80/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4621 - acc: 0.7798 - val_loss: 0.4709 - val_acc: 0.7812\n",
      "Epoch 81/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4360 - acc: 0.8009 - val_loss: 0.4298 - val_acc: 0.7906\n",
      "Epoch 82/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4236 - acc: 0.7906 - val_loss: 0.4095 - val_acc: 0.8125\n",
      "Epoch 83/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4830 - acc: 0.7700 - val_loss: 0.4203 - val_acc: 0.8094\n",
      "Epoch 84/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4431 - acc: 0.7973 - val_loss: 0.4747 - val_acc: 0.7625\n",
      "Epoch 85/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4347 - acc: 0.8048 - val_loss: 0.4151 - val_acc: 0.8156\n",
      "Epoch 86/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4553 - acc: 0.7826 - val_loss: 0.4568 - val_acc: 0.7781\n",
      "Epoch 87/100\n",
      "50/50 [==============================] - 53s 1s/step - loss: 0.4254 - acc: 0.8223 - val_loss: 0.4425 - val_acc: 0.7937\n",
      "Epoch 88/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4559 - acc: 0.7864 - val_loss: 0.4960 - val_acc: 0.7437\n",
      "Epoch 89/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4557 - acc: 0.7789 - val_loss: 0.4230 - val_acc: 0.7875\n",
      "Epoch 90/100\n",
      "50/50 [==============================] - 53s 1s/step - loss: 0.4660 - acc: 0.7703 - val_loss: 0.4674 - val_acc: 0.7750\n",
      "Epoch 91/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4487 - acc: 0.7826 - val_loss: 0.4051 - val_acc: 0.8188\n",
      "Epoch 92/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.4183 - acc: 0.8109 - val_loss: 0.4988 - val_acc: 0.7812\n",
      "Epoch 93/100\n",
      "50/50 [==============================] - 53s 1s/step - loss: 0.4351 - acc: 0.8061 - val_loss: 0.4295 - val_acc: 0.8156\n",
      "Epoch 94/100\n",
      "50/50 [==============================] - 54s 1s/step - loss: 0.3941 - acc: 0.8232 - val_loss: 0.4387 - val_acc: 0.7937\n",
      "Epoch 95/100\n",
      "50/50 [==============================] - 58s 1s/step - loss: 0.4663 - acc: 0.7822 - val_loss: 0.4644 - val_acc: 0.7781\n",
      "Epoch 96/100\n",
      "50/50 [==============================] - 55s 1s/step - loss: 0.4183 - acc: 0.8082 - val_loss: 0.4055 - val_acc: 0.8188\n",
      "Epoch 97/100\n",
      "50/50 [==============================] - 57s 1s/step - loss: 0.4409 - acc: 0.7962 - val_loss: 0.4378 - val_acc: 0.7875\n",
      "Epoch 98/100\n",
      "50/50 [==============================] - 57s 1s/step - loss: 0.4233 - acc: 0.7991 - val_loss: 0.5050 - val_acc: 0.7656\n",
      "Epoch 99/100\n",
      "50/50 [==============================] - 57s 1s/step - loss: 0.4446 - acc: 0.7885 - val_loss: 0.4209 - val_acc: 0.8125\n",
      "Epoch 100/100\n",
      "50/50 [==============================] - 59s 1s/step - loss: 0.4278 - acc: 0.8058 - val_loss: 0.4322 - val_acc: 0.7969\n"
     ]
    }
   ],
   "source": [
    "# 利用数据增强生成器训练卷积神经网络\n",
    "train_datagen = ImageDataGenerator(\n",
    "    rescale=1. / 255, \n",
    "    rotation_range=40, \n",
    "    width_shift_range=0.2, \n",
    "    height_shift_range=0.2, \n",
    "    shear_range=0.2, \n",
    "    zoom_range=0.2, \n",
    "    horizontal_flip=True,\n",
    ")\n",
    "\n",
    "test_datagen = ImageDataGenerator(rescale=1./255) \n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "    train_dir, \n",
    "    target_size=(150, 150), \n",
    "    batch_size=32, \n",
    "    class_mode='binary'\n",
    ")\n",
    "\n",
    "validation_generator = test_datagen.flow_from_directory(\n",
    "    validation_dir, \n",
    "    target_size=(150, 150), \n",
    "    batch_size=32, \n",
    "    class_mode='binary'\n",
    ")\n",
    "\n",
    "history = model.fit_generator(  \n",
    "    # 这里有时候会报错，把几个epoch调低点就可以了，我也不懂为啥，尽量不要与原来的差太多\n",
    "    train_generator, \n",
    "    steps_per_epoch=50, \n",
    "    epochs=100, \n",
    "    validation_data=validation_generator, \n",
    "    validation_steps=10\n",
    ")\n",
    "\n",
    "# 保存模型\n",
    "model.save('cats_and_dogs_small_2.h5') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# 绘制新的训练过程中的损失曲线和精度曲线\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "acc = history.history['acc'] \n",
    "val_acc = history.history['val_acc'] \n",
    "loss = history.history['loss'] \n",
    "val_loss = history.history['val_loss'] \n",
    "\n",
    "epochs = range(1, len(acc) + 1) \n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc') \n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc') \n",
    "plt.title('Training and Validation accuracy') \n",
    "plt.legend() \n",
    "\n",
    "plt.figure() \n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss') \n",
    "plt.plot(epochs, val_loss, 'b', label='Validaion loss') \n",
    "plt.title('Training and validation loss') \n",
    "plt.legend() \n",
    "\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "0.9875314"
      ]
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "source": [
    "f1 = r'D:\\BaiduNetdiskDownload\\DLdata\\dogs-vs-cats\\test\\test\\2.jpg'  # 狗\n",
    "f2 = r'D:\\BaiduNetdiskDownload\\DLdata\\dogs-vs-cats\\test\\test\\7.jpg'  # cat\n",
    "\n",
    "img_path = f1\n",
    "img = image.load_img(img_path, target_size=(150, 150))\n",
    "x = image.img_to_array(img)  # 将其转换为形状（150， 150， 3）的numpy数组\n",
    "x = x.astype('float32') / 255\n",
    "x = x.reshape((1, ) + x.shape)  # 转化为(1, 150, 150, 3)\n",
    "\n",
    "res = model.predict(x)  # 接近0就是猫，接近1就是狗，这里用的f1是狗，f2是猫\n",
    "res[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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8hWcc8pzvnK45n9V0s7hLV5sdv/n5BfOJQP7k9TV/68kXyXLNfr8D5/hzJ0u8ynG2RwE/udtTT577V95/h6/XNUVZglLYwZLlJjmJIpQSTrdtm7KV19fXKZQVtFAW+vT0lOfPnyezobVOKXBjDPv9nnkeoXKtNavVirZtk7YQwZA5vrm5gcywqmaEMhDcWxJTkgYY5SAo8DHpePTilWiIh1lFfd8nLx6O2bOhdwnQefQzfxY1FZQ859mf/s/Y/PiP337obs/6r/wcxWZ7JGHsdlhr+Zu/6Ut88uH7fOfRGW3fo1WgcREl3Gy2FMsF/8NXv55e/MttS9E2tKrGBs+l0vznJ2t6l/H08QmH/ZY/8P9845Yg/MMvfJ6//YWPKOuawXkOhwMehxqZQLJjZWcuFovowY9Onyz+brdLfoBwGL785S/zySefAJEfKSnuYRhomoZFNSMATdfRXlzE6CGPiSVGc6OzjFxryhDIJ1rg10RM8XfWVjRBQIQh4AkppHzdEBU5VWVt25JnUcKzFy+Y/fIv3/qdi5/6qVeEACBUFZf/7h+i0Brlord/OBwYhoH/9Qe/wHI+42R/4IvPPuXs+op86PFNtKt97xiUIps862/sev7RbIYxWXqHzvr0rHeHVpE+Zr0nKD2avWNGUIggskMvLy9TaChaUpzJpmlSeJxlGdvtNmkEUfcSIfV9j8kjOcWPTllpIrw9DEPMbo7ws3M2sqJMfiuUft34zAylWz6AVqg7TsFnhYTvEl3kp/r7f//O/RTXf+An7n+WcYFCnqO8S4kipRSfO3/BH/rHv8oXP33xmbn686FncDYKtzYoDVpHyPo+FPPWMyiSmpYIxjmXnLeiKJK/IBCvIJjr9ZqiKNLnYkq01mOavKGua4qiSIspuRKtNXVdpz+vr69TqCn3evfddzns9jjnOBwOuLdOQ999+Ul08MrEMGUfvjrE8ZHJEgCFMMbXz5/f+v7wwQe40YO+937jQkjq93A48NuvN/ynv/T3yb/HVHjR93TdgFLjrtaGqsoZho5ytPXTIZm/rCiwI3EnRUHjggmpRShzVVWl6EEwg7ZtUzJLIOSzs7OUIhfaumAis9mMrMhHreIjANZHIKy3Ay54PAGlYjjf24E2WIIKqConI3/tHHwmjXB3kSUZBeCJ1GlGPvLrhCGCOzHhI5k7rTVGR9Wldtvbk71YPPxME8TRWktzfc1/8A//0fcsBADKRVNVFNn4U/DOu0+5OP+E9WqBUrdxBe8dl5eX1PM5Ji/Su4h5EtMg5lAAptlsltDFoijY7/cpY1rXNWVZJiFYLpcJgzgcDkcuxchHcM7hFTFl7j2f+9znyEfHEUZia57RNT6ywPTrM4/wBkFobAtoMlNg1IBSgQKPtXEng8KnS4xRgw53YIYoGm3TH/P3DiB+z7lIvXKz+ta99X6H0vcXtxyG6JVjNP0Q2UZPv/pPeHQndNyXBf/Tv/Rj/F9nC17mOReHPd/4+jf5ha99l9nkenmu8XZAVxVK5XSdw/Y7wKPvSd22zlPMaqx3+KGjyA2b6w6lMryF7aFnNq8wOmPoIz8xaq6Bui45NHu6/kBQGabIaYfIceydMKEjPe7QtZFs4gPeWfKyoG0khV1hB0+eReGyg8IOCohZVq00zcGy0EfSjZB17xtvIKaQkkkhBJy1cVnH2N/fMhXiMr7dsE+f3vp7/t2P0dc3uPXq1e+OjpZXPqV6l9/95JXv/Te//bfyt8/WZHWGMTlLo/mwqm8JQXxPf8tsQaS9DcOQsnnTURRFIp/G3AcYlad5EpxfqQgUiS0XJzk5bqN/MTUrEPMci8UC7z3n5+eJjib8CgGjxJ8Q3EIKd+Codc9O6hGFbB5kjz0oCF07UBSKzGgG5/AuoDOD1jFSiP85jmTo6f/fHnd3tXwmtqT5sR+99W8qBE5+7ud4+e//0Vd+V+BXNWL1FxcXqN3ulXuer1ecnZ3xcvOSEKJX/nv6Vx0mEQRZKKGBLRaLOOF3J23yfe89wQdQlsViwWq9oO8XXFy8iOBPsGOiSHyaWC6nlKKzR76B7FpBJoHEoRA/QwRsSrmTaOP8/DwJiTiLZ2dneNthTElVmQcpAg9u4UQL95HFnJCy8Ppfm6aZ76ac7xMGGfbpUw4/9mO3Pnv8Z3+Gxd/4G69cu/Ces7/4l3j00/9l8tI396i93/z1bx7rBJ1j8eKCP/j179x7f/E1pNro6uqKw+EQf8zt9/2BT56nHZjKyTIVf8baCHHypvUEcdEi3i+ZSclYTrO1VVVxOBzY7XYsRl9JogWpbZjyHYdhSPxMERqJRpwNDL1DEel5rxsP5xpMhkdhhyi5OovqzxJRpegeys8IN78mVr0bht0nEBc/9cf4/B/7qfR33fd8+B//KZrf9EMcfstvIeQ5+bPnLH75lzA3G178wZ9Iu+T/fvRqhPFvfeWf8KWXl3x8tma+O/Cjzz6lcq+qR3ku0QZThM45x7fLks9N/I/f9a3vcLI/8K3VAmsMWkFe1Py13/mvjGHfIbKWigJtSMRR721yCPf7ht7ZlLY+Mq4jQikorISfAkbtdvtU8TRlLJ2cnCScAkj1FJHjAUppjHlLYkpZVGPCI2ByjdYZVlhqk+955ZOW+KxpZPlzKjf73/27ePmHf5JHf/4v3Pp+/ZVfpf7Kr75yHR+irW3blu/kOX/vg/f4HR8/u/WdHzq/4IfOL9Lfb7KM0jmqaQb0jo0G0uKEEPiF1ZLfOWYpZfzwxUt++OLlrc9+/rf9WApn0651NkHKkaBTkOcRXMrU7QgKSEU0SqkEV8tziWqX64uJke/K97z39H0fC3ezPGmRh1jMD5qGsl7gMdTzBZmpGFzAWofSUf1FLynaJGVAmaO9fcg0yIsLfCohUwiB8//kT3H+J/8EPn99zCvDjnUAv/Irv0LXdfz0b/qNfHPkEt439kXOf/Wv/g767HYkIKpUTKFQ3ATW/ctVwa8+4HHLcH7A+QFtIC8Mg+3YbDY8e/aM58+fJ7QweMP7732e09PTZO9F7Z+dnSW+Qtd17Ha7WOY+CkjTNMlHkqKWR48eEULg5cuXGGP44IMPODk5YRgG1qtT1qtTMlNgh7d0FhXRH3BBoXWsYzDZJGJAv4IvTdPNbyKqTHeCDO89L/7ov8f1v/Gvc/rf/ffM/+7fpfjOdzHbLb4sGd5/n+a3/ij73//7eP6DP4jEFFpr8seP+TP/5r/Gb/k//k9+97NzPthsyK3juq74h+895W/8yBe5WSy5i3bIREvcPy1NCyHQAH/kBz/i3zkc+JdfXvGFpmNlLeUr2VQ7vuPRXpdlSZHHZNR6vU4kWWMMLrhELJVdK7yE6fwJnS2EwGq1upWR7Puey8vLlN+Q0rbD4RDJKZtj/uOh8aAgaG0IWo+4QGQraa2xQZLP9/2OvlcjTMEVEQKxbyIAU8Fx77/PxZ/8E1z8yT/xyj2C8nEnXd+kl5QdslWa//m9d/hb/8JvYD6fU2SGxjYMg8MTqI3hP/r9v4frzZbDoeXZpy8YBosOmn5sLhGZz8eoQBFoQuDnHp/xVx6dUpYl87pKwFFmFA6FSSbhyJTWWmOdT/Y7qveYrS2zMt0PSNT209PTW8ipqPW+7zk7XSctKhGG9IQQLoNwM+bzOU3TJJPyUCHsG5zFHK0yCJrg1YirG4KNDuJUG6TUw52imOmf9427PsVD35UxnTxx6KSphVGaxWLBcrGIhSJDnybVBZ+yoGVZkuclVzdbtB4IXtGOghCdtCPBxIx8DLHnUy5A5E3qyNBCbLlPVWKyU6217PeHtPvLsqQZdsmRFHMAx0ytaAt5567rUt+Evu8j5DzmM25ubhKE7b1P9xjaFq3VqJ3ekqEklcJoQxBQaZwoWb4oAD55j9YepXjqxd5VTUntOZu+P/15SJUJkCJx8263wznHarmMsb/RVGPxqveefuiRGs6rq6sYr9czFovlGJ/ziv0Ugqi1lmLM+BljuL6+jiFekaf0sFYZvesplXj/KtnxECqaQ4f3IUHsfWfZ3OxYnJbUdZ1CVa11IqVM6yqrqkrRhnwu5NjFYpF8jaY5ttURvuPjs2USiofGg4LQ9zGZUXJMqQZ1t8fJqxM43a2vy97JENNw93ceEgRRmZKFk90k9jS4aLgEoGldOwpCSBMijSeiPYbgh1umTEioUzstjpvcPzGDVCAvc/Iiix1XRjMXn0mNRJVy7HBiyDJSeDml+cNtkEhCYyAtpkQE4mg3TZNY0FLhJGnpiEgqrO1xbkhtgu4bDyOLfZ92ilKKoNToZj0Qhkycv6nNfx0pQkK0zwo83b2XAEqyW4wxMKamm6ahI5CVGdZ69AjWAHSDTeweseWz2Syxim9uXqZ6R4hCtRu60aTktyKeAU+9nCUN1XfDRL1H5pGYmqF3SZvtdttUiifZxWlqWeZACnizLOM7347Rx3q9ToISQkgcBmFlA8lUiKZYPJDIe1AQZoVht+3JMk07tNSzGbvD/lh4ESALZsw+gg4w6FcrkGRx79UWQUOIPRYi8CHCdn+hK0CZh0iV0oqu6zFZTpYXWK/oPczK2BgiZBW9c6gh2uY8y2AIBJNhXMC5QAH0wdHbHmtbmj6STHU2I+QGTXQE2wEW1YzV4gTbeTYvd2iiIBdVyX5/Q9dleB8pYu+++z43l9esVyc07ZZ+iA5d2/R8+OGHsa+RyijyOfOZTh7/1eWO2WyGHRRFUaLVwOYm1kA453nv7Akw+kl6rKvMNN1hT4HDuJ5u2+DbA+Vqzq5zoAvmywXZAyH5gzjCFPb8LGr+1zoeqneY/ts03JK8fapdGCFXcShFVYYQUpOJPI8IqfQQkISQRDeiss0dYm0IIS7S2EOp6WKfpW4YMCbncGhTLkBrDUElR1bMjTiGQHLqptXP8t1hGNhut7d+5/T0lLKu0JkZaYMBPQri4GL5m/WO3g4xMxpCCmPFFL5uvMFZfDVJ9OstCPeZgSnpdXq/aRQiEyZqUGud1L7Qv4wxzOdz2vaAc4FhcBTKo9Sx2ERpk1R9lhu8HcPXwDEH4EPsX6hj6zxgjAQGfBDvvhh9kpr5vEYhvRmKUfCiCTQ6pBxGPqruq6ur9Dyr1epWLaaQV0TYPYGma0ehUbjg6WxLN/QURYYKMTpSRkdaW+8TLiICeN/4564RXhc+3kdpuzsEnRQNIQsqiR/x/Nu2TwCRczG0kwyd7Ni8MBNOoT/mTPwRT/Dex0ynUrhRwwh30HtwLqSkj/gs8TlMch7lmeS94vNFTSU+Rl3XCT4WutwwDFxexv4Km/2OduhxBNqhZ7vfR26d0bFRhiL9v2hHyWO8bnwmjSCC8CYC5NuM23mH+3GHu5+LmhNAR0yE0MjX63WqXfz444+pqwm93gS8j6FxGGP/sszJijV5XXHoonrvGo1zA0Efncm6rsFFAGfb9Vg3UNc1Cw3OwtB77BAY+khfz7KCy8trnjx5kuDi+XwOXkc+A1GzPH78OPEPnj+PRaubzQalFKenp6nW4dGjR3z7O9/BjNhBlkudZDU2Gz0cm3kaw/XmhsLUSJ+l1epVboeMN2qE1y3KP8tx3z3uwtOyQ+GYLhe/QZpMHFHCHOmcpvWxVrDv+5RKtrYnBAdEzoDyt2k2GoUOsVFXN/TkZcF8pJtHW3/s0TQMjqKoyPMyhXp1XTOfz2OLHNvRdodbJk5K9pVSiQg7m82SUEjBSlFXVPMZWVnQDQNBKcpZpOJ3dqB3lqAVKjN4jlpmmuq+bzwoCNLESUCNuxXK9/0kssadz+9GC7K4osKn/34f+DRVzxIuSWvcxYgiytjtYkn8fr/nS1/6Eh9++GFMwKzXbLdblssl1trUtErYPxKKFUWRehoZYzCjT9E0TWIKJwdvGHDeRzqfznE2sFqe8PLiiqF3qaejFLzsdrvkrDrn0vVEIKUCerlcRqHrOj766CPKsuSrX/3qLR6DlLp94xvfSE1Bq6pKDrL0jZZ7vbWzKEkTay02RGuYmQdl57VJp9fhCG+jYSQ68N4nyFVg3Lqu6Q6RPv7ee+9xeXlJs9+z2x1YLFY4G9jc7JKAn5yc0HQHwsHjGzt64oq+61jOo4Btt1uGtmM2E6w+9kyCkDqatc1AVc6pqooQYLfb08BhS1EAACAASURBVPcD3jsuXlyiDSlKkXvPlydUVRU7qoxZz5OTk9iQc0Qyp40/lVJ8en5OkeeRwj46mcvlfBS2LPk/WZbhvOLQdoko89BcPygIkor13semGGPI9ZDTMfX4Pysw9L2OKfliisSJXyCqUCmVikLXq1Nm9QLbxF2f5yVaQz+0qS7BKs/lzTXb7ZZ8WOG9JRhDsEc/ITaq8mNomqdytM1mRwjH5xFuIsRwtx/a1PW1rksg0uGVUtzc3CT4WXa0LJ7UQKYCF60pi4LFfM5+t4338IH9YQeLY6p86HuaZo8d4ib5NbXgPRwO2BAzZ0HH6ibr3YOC8P/FEA9YkD0gtcff7/fMyrjrmqbh8ePHZFme4NlowwVu9WzbHShFOStZrVbRK99cc3JywvX15S1hlopmpQOOgMPHXkiDoQr56OU3o8+g6YYuefxD71Llt+RK9vv9LVMo/o34CAkyH7/TdR2FyTAoMqWpi5LD4UB7OERUsSqOyTDv2d1sqGbHwpuHxoOCII0o8jyHUSP44eEdPtUAb6Km3f3OZx0CLU99Bpm4tm1Z1LOkavM8x/YDWpuYbh59krqqcG6ANqZtHY5yXlFV0T/ItCE3sYehREt5PqbS89taz1pLVglZZBiTQbPIFdQhcQrLItYuXF1FH6a3UZPFCCNLzy95jmniLhv7Mxml8dbR7A/Rd0HRHiLyWI41FvJMgvgKmPXWDTezLENl0U61Q4/Jsjeq+ql033UCf73GdOGlJN4YQzVWDcn9nzx5wqeffspqsUwxuQK6bsBozWZzTTkrUUYxuHi2wmCj+t7f7Dk9PcUYw8uXLzm0DVkWd1s5tiCWppyiws/OIjuq6waKIhJdJCcQF+cIJkUTsUgHe0iU884773BxEal1QmYR+66UogjRPL349JzVeslquaTrYlSSaXOkyweY1TV6NAtvWoMH9cWL7TUXN1eEMX+QGUNhMnSIeQVFZCo5HX+Gkag5xR3uiyymwwdLwKFNLMZROpAUb7A4P2Bdjw8WlEcb6H2HCwOr9ZzD7oa6ysH1dM0O53qu99eo2tAbR35SY/2OagazhSbkA/U6hzJQrioGF226tw56zzKreWf1iNKAcpahOWA0nK6WDH3PYb+nNCVhCMxnK4wu2G0b6kpx2F+i6DlZz+Nu9Iqrl9dUxYwyL+kOPd46Mq1QOHKvoLPYpkO7QKEMOI9BJUd9sJZD03BoGgZr8R7afqC3jtYFGusp5mucLmjawNBrslDh9oF1dsZyllMYT99s6JvNq4s8joeTTrNZwvAlTr+v4cV0SHXSQ2OqVt9QiRWveVez+Jh182M5fDGiiUopcmPQymCyDG0Mzh57KpVlmVLJ+WSnCAooVHZrLcvl8hYKKM6atL2dVndPORSSccxMkRDOqqrw3tL3MUSczWYoDXVZ471PBbx5nlPWscGWH0mvwzAkU9H3PfNZdQsRnabN67xAqrLLsqTMCxq/J3jQypA9MNcPCsJUZcnkTStzXrfID+UP7qablb6/69pD94ht9QDn404GgjuWp2U6xv4B4r+7Y+p3WlEsIafkJbIsNqm01jLPZrd4D0qpVLomzqr8u5TCA1g7trlRPhXBRn5h/Pyw2/H++09xXiBvl6h2stjee3oXcwM+SNXUsYNbWZb4EKFkSYD1fc+ynnFoO5QPFDrC2hJNpUTYa8YbfQS5iLyUxKmvG6It7kLG04WdCoS+p1jmLuj0aurak5uMYehwXU+z3bPfbPnggw8wqIQC2sExNC3zvISgGHpLMXYcUWjapuPq8joBZnlW0LU9znqy6ti7QBZcagel/b+E0nJelLyzdIeRxfv44w1lmeO942Zzw+npksH29ON358tjQ4zz8/O4Aceah7Kqkom11nJoI5PZOsfJozMObcPgbALGnHME62BkMOHNiFr+Glrwypgmd0QlvVYQPoNTKIt7X57hPjRSfke+X+YFwUXPuW87npw9YlHVlEUR+yTqYysfo3Qiv0jYJrtZ1P4UfZMdKqZgyqCqRqRPws/eHUv9pfuJ1uLlTxJhuSbLNJHnuYr3VYGyKpNpmL67REXDMKBGZ1QwEh8srdQ4jlxE0TqDtejMUGdF5F7knoYBpTRFUb49Q0nYM3fHmyKA+1LIr9/h7l7TMB13r1OXsSRMQqLVckkh7WMAy9FRPd7ntkYSey5CIjkDgYPFLxKP3Zh4KIdcN8sy6I9Fp6Ip49+PzbNjk66MEGLr/whdN8zmdXou4VYaY6jnscVe7mzCDpbLZRKYk9kqmrRwZC9L1lXOkjie7wSDj7zTaP7esj+C9P8RGypCMaVZ311ouB0xiHS/LpE02KO9lh0pvyffmS4owGazYTGbs9ts+fY3vsm3vvUtTpaxsdRsuaAuSzo7oLThdL0muPEUN6Uoy0gWlY4moBkGx/X1ho8++og8v+bjjz9mcNvklMkcyLF6ckKMHtvWhBBL3yNoFWjbnsU8/s7NzQ3aQF2XKAW7/Q6w5EVGt98kkqsIntbxNJnD84hErtZrLi4u8N7zzjvvYJuBvo9+TF6VSTiNMTSbHbjY7r8wGUZrdFnRd9H0SbvjtxIECWNkUcTuTRfz9o57M4X9rjDAsdPIXZNw39BaExT0dqCzQ8I55KCKzg4MLnYut96Tq8gJOFLQA31vGQY3trqVON0QI+oohLI4aqwx9IRxh98+sMR7T9M14/PH7KNsgKqqsE4AoqPf5ZxDEe+b5VnaPM65BCtLHaSQZPM85/LiKjrwwd+CsVMxrlLozKCMSVwKGQ9p3YfJq12XhGC6q1+3UCHEVv5v+t7dRZVJn4JRb/ilBCZZa1O0UBQFSmu6caKU0QzWorS5NSHyrFOtpZRK9h9IpmL6Y/KR9iUaaxIyyu+BwrnjAaLGGLrejZHKEWOJjbzLWxGLPOPNzQ0++CQ0ErJL5zjnYrGOZD+VikkyZwdKnU0cx4F8vLbM8evGZ3YWRfqnzuK96h51a1fLi79ucaeFIvL9N/kMQcWTY6RvUDWfUZYxvvYKbN+O3d9i+w7ZLVNnTFrSyYLJThTOoeEYHsozSsNLNU60Dcd+CtPGmn7EOWTnR7a0iQUmShzRgM5GfMYdDwMRM1GO9HfxA6Q7e1lGzqJSCh+OPMyu68hQeJPdmkMfLNqAdT3929Y+SmHFFLjw3t/yPu/ab3mh72VMq3pE6B50SDNDY3vOL1/y4uoSgmfbHsjqErTC69iRXSuNLnIqf+xVeNjvsYNHq4xAQBEP+lA42qZHKcNqeUK7PZ7xJOpfdqYiYhlu6O/FV+SAEMEoom/lUWMro4g7ZAx9FFBJ5E1xB6GZhfFe8/mc2WzGZrOjMAVFXRFC5C967ymynOV8QZHldIeGoKCoKwbXpx7PR611z5S+aZFkt05j5Lt2Z7rbjDa3dv9nyU1Mnc/PYk5CCFjnaPqObuipshznPfsmNp2y3tE7iyaQFUfQSJ41XWN0fkOItl+IHm3bpgUR8Ejmoa5rurEAVRJF3nsyfUxOZWMfCXm3aX2n8w6tPVl+jOmn2UEpbh3G0FaPoa441HI/ay06hNQaIISAzjMI4zW8py4rhqEHarLMEMJbaoQjZOqSLbvrLIoQJDr4A57p6xb1bmj5RuHhNlUtL0vwMZzKR09/GAb0aNcPh+aWOZv6O6LCJTw8HOLZy++cvXNkKI3IIkSqWi+O2ejkRTqa9CcYuRH2tjMngmddjzGBLDcYihRmimkZhoHlcknTx+cK3O5am+ex+Zb3kSgkfR7F/FkXz4Ry1mKUTpXXvyY6uwiAOC2y4FOE6i5aNRuOB0n4IB1IRHPY4yKP5I62KCjGdjLeulQJJK3mXR9/p8qP/Q6b4Zqnj045bC7Jlcf3DW3bc3Jywn7fUJUFRmVkRU4/WIpSH09l02BUIMtzTB/oulgo4nyHDzllZZi7kuvDJUEF2sHhu/EAEKdR1qK1Jc9NjNMJ4DwoTz2LHEXrGmbzGdtth/d2LEcbUKjjWdPZjHZ/SQg5swBKZYDCDtC1it12z3K5pBs8mc5HWn5LVZQUWc7hcKAeG4C3TUuR5xxutlFYqhJlDS+3N8xP19RnJ7Rdx3Z4S0EQmzUd084c941WxUkJKgIrkRAaFx4DKEnSjM02ZPP72yCUtTYeTjFGLcISApiv5tzc3NA0Daenp2xvNpyuT3DjKWsRs+9GZzJwdrqmaZrE9RN7bK1NTSaEHiZ5heOROD5FNALeCNdhCkqJ9hASqtDIRROI33B1dcXTp09jw4s8MowvL68wRU5mCjyKq6sbqlnEKk4fP2IYLP3QMl9EZJPgY3JPxfxKUWbsdttUmJPnOfWsZLVekFUFh8M+dXl7K0EQ5w2Otf5vsuMukz6LithJTOH92FMYiQzij9YBM54ZqAwoHY8GignMWIgCPmkTic1l4fI85+zsjO3Yrt85hwrcsskodW9IOHXM4EjLE6RvNlvcMo1ip6f+ktxj6j/dTUZJcYmof6GrXV1d0dohJbOKvEIpQ3PYHwE8JyX9jq5rmY29KOV+sjHkfff7/Qialczn89jid15EOp6BsnrL8xqmi/5ZASKnIHAMu7xycfmN4lhLMJ4sGxSZPzKjIQqBCyEycdQY54djaGWMoe8brq9jsijXR/sdF+zIYIKAC4HtdpsaS0xjc9FuU0dStIF42eJoAmkhp9C03He6SaZzNk1ASfJO7HVlyjgP5IRgCCHOg6CNsfjlkNLjznc4Z7F2wNqBYeiT1orvk43aLifPM5Q6RmRTgfmeBSHYAeUduVYoH1vPurE76OtGZ9uJ9tAEO2D7HqdBqePxtFppMqPjiXHew/gySkWSyGw2w3Z92qV926VzlL/+ydd4/skzXr54Qa7jUbl+cOTG0DpLcJ5cxzh/t9vQDjFNW9d1ouVPASQJEwWGFu9cKp8FxLm7yDLBogWmofQ0hS2HeRlj0snzeZ4zr05GgXI0h5iqrmdzvPfj+Y8Fm+0lkvnc77doVaA1lGWeOqMIQDWfz8lzQ5ZphqHj+fNPKBfV6OQHuq55O0GYvtz0s4eGHj1lbQyaDGUtylpCcOixiYQBcq3JlcE7F38kJx9GR3OwqRzMDZYXL17w/PlzLi8v+e75N5MHHKucc26a6AzqcLvHQtd1zLLjoSFyFrT827SZlYST0oZHStSn2UopLZ+aCAGB5Fp3k1lh1EpiXgSx3W73zGYzlss5yg4MQzdC1AP7Zj/WMh75Dn3fsT9s0zNNtZBonil3RE6TkfMh3jpqyIymLHIyo3E2YHQ8Sxli2DWtJJYmTvOiZr/Z8OLFeSR5uH7SDeRkDD/jDttut1xsIjvn8vKSrmmPmPswYPshxdWzqj5qjNzhR3Jm2zQ4bZhVMZs3qxdc3lxjdMZ8OR/DyCFxG+GIZop2iLUIIfUXWCwWXF3dRM98FBwpGxMbLC3wjuzoqNGmh32vVqvUFVVOd5EzHefzOYMyrE+WvHjxAlPEvEJQMafwqH7CbF5xtbmiLKWS2jObLcbT5GJEJifNh6Bwzo9oZhid8Yx3332H58+fY619+/4In3zyCTc3N8leSdeQsiw5Pz9PB1BBrNx99uwZ768fpa6k80WdaOMXFxc4N6Qjd7UZO5qPEluM9QHz+ZzVfM3m+oZeK7JMk2mTpLpt2yQwauyngA945cdjfWJnkX5wiSwiRTrT3SvvM2XuSCgsx+xMnce+75nP57e6r00TblM6n2iK+xBT0SzOOeb5adIuyo/OromFum0/HlNoA4N2WDv2j8iO7GYBwuQe4gxPHdfLy2vath99nrfMNfzvf/N/Sy8rdlJsnff+1uliy+WSMjd8+uxjvI9pz6uLHT5E7l3fttR1hVnMcW5I3nQ5q1Nnj+6wp93vuFTnLGZz7Gi/yTK6JqQQkDI2sIg/GuscyjuK8QSWvmnZtx3aGE5XazY3L5NDJ86aTKQ4YhIaAmMoaRJvsRuPy5vWJ04dTYkEJGch/sQUvRSOQ57nETBqGmZVRZZBXecUddSubd/F6KHZxh1O4HDo0Krk5OSE3bZlNovs57ZtefpkQd/3vHz5MiYIQxTIznu61tPs4ilyeWY47N/SNNxlJAM8efIkqTs5rFIE4vz8nMLHHVhnc4Lr6TvL4C3b7ZaifkJWZuRq5PcddvR9h/cOFQJ5EXenGyyogNYKrRXD0ONHz3uxmOOy6FAG5/HWo8ORDOKHOPFlWaJHL1+4htPiWNk5UxLKtPmGCITMgdDRpjZ5moMR3GHaxkfmTgRMEEKpKV1WS6wLmCzWTHhP8lsUhswUNIeGrhtYzAOEjKKomM1is/Dz8wusFaaVHqOy+BOvNaDGo3yGPqDflo8gu2YK/Qobpq7rV14+hEA2qyhnM0ydUxYal40NosqcQQVccOjxiFozK1nqY9dxraMZCNpj+yEJoB9squyN9wQbwPkAagxJJ/n8PM/JTYZ1jsvrK2b1MRQUtS6hqGiJqQqPGiNPNYqShxATA7dT7dN8xN3YfprGls8FzrZ2wLkIPhVj/uDYO8GglMFanxa57y1dO9BkHTb3eAfNIQpnnpVRPyqV6lOH3kEuCTNPVb0lVW273SbvWUKq58+f89FHHyUUS15sNptxenrKoC1b2/DpJy+pZ2OGrGnwwZLZJk1elmWgPKsstrfbbK4jXbyIRSr92AQ7GxeqqiqGruew39IzMpXHPEB0kjyPHj1itzvwyfmn9GNDDKVjaZmodAn7JHEjR+lMi0Ci0DiWyyX7/T5RyYSbMVX5IhDX19e35mNKRRdNIsU34miXhZwfvSUrcwhR82SmwIdYwzCfLVkuV8kUGJPx4sUFeZ7z9OlTtttt8mfkPll2NHFZXYxrVfBQwPcGYkospTo5WY3YQPzs+voyHTOTZRVNs+dwODCfz9m/jCXdJ6crrq+vybOc5nBgOV8x3MRjcauq4urqig8//IiQx5y7yfasSsNiFotDMteS6+gLBOfJ2gztNdpq9LpPDmw/eEKu6PzAtd3R+JZQGELvGKyjKnJUbxh6x/rkBHB4Y9lsrpkvFvRdG7OXTqFUFo/dMwUYRZ5VzGpN8DE0KxY1dgg4G3e2lLw3TUOR5amJ9jtPH1NXVeyNXFSp8VfvXUyP1wV9rlmqEoVnVq+xQ0Cqq5UOlGW8bmcHZj7DuoA2npvtnqoqWa/X7LodIXNY3WLmCucbrB/Is9hga7t9wYl6n7IuOH/xKe+8887bCYJ4wHIKu5AjDodDOkhiSskStE5SuYKkSSmYVPqKCr64uKDn2LNw8D5GItrEsHA8ADs4j8rHsjHv0GNpV9cOYyn8nLo+1iQURTbG3jHhIzn7iPB5AtEniDvM3LL7WZaRZzmd72/Bx4LhTxnd8h7T/gepo7o7NvjO8xy0whDQwaDyDJ0ZDttDQh31+ByDO2IZdV2ThyNB5XA4oHQ1dnHdUpTHrGUEoEr8EEagTMfOMYNLEPtbM5SEmDl1sKQZg3jKU7u73W6TIHjvU91fVVUp6pj2NtxsNgzjiSYSmimtyfI8AlJ5rPx1xEOtgFgM17nRwYvVzWNK4Q6657C2Zxg6chP7GkQH0afG4lO2lQi1hGGDUMImCKGYRxGG4zUVykQnN8viGc/ZJE+jtR6PVY65laBixDMMx/Sy/Ii5EgHVI8/xSKPPsTaw27ec5CfpJN3gYBgs3jq0ztLJcO3+KMwPNdN6Y1n81LsWpK2qqmQTRTtIR3HRCjJJL1++JMsyFotFkmppbFkUBXkVJ3cI8TQyFwKds+SzKpIsnMM6ix5tu+162sFRljllEW2uHSOFto39j5Qey+TrUV1vVexFYAxKK6pZxdwdk01qBGhqleFCIGiVzmyCY/JN8AcJHacZyK6P3dDX6zX7pqEMOauxynlz2BMU409kTw19zywrkg+Fd7ciGCT8HNsSCJEVZVOW0/se23mavuPRo0e8vLwENKvFisViwc12x3q9pG3bxLV4K0GQVO002zb1bBNxY9QIdV1j+2PqVTqCTR0zcaQkUsh0Sds02LF0XIfYyHNWVQTvGexAIDCrZ1GjKEVOlPr4+B6lDHk+dhfR0rRbntnjfZF2XIRh81vvNCXWyPcEeJoSWaQf0tQkpCxkUGR5icJQ13NcP4w9mD2ZynDjYYheK1TweO9Subz3HpNFGDm3ESCq6posy9iOKWTpJFvPCiAmmIL3DC6WuB0OB07XZ7R9N/Z7dAk5FcbVQ6bhQXLharVKfYam2ccYz8cyLWnpItpDzIcAN4vFIrWKk1BNsngC0kwTOt7HXoI6yyLx1Fk8gWJek5XxiD+tcozOx5BJPO82aZlsVP3DMHBzc5VUu3ACJJQU7H/q7YtpkFBwKghTfGAaNmqt6cb6DBc89dgGd3fYv4LvGxQqBFQItzTOtJ5yei6ToKkS9bihw9seYxTOWYKPTTl0GMNrU8RQs7M4e8y3yCZ+K0GY4gSyYECK+WUiRb2JTa3rmtVqRVVVEXEcNYGEU+JM1pMSsvtIq8OoirshwsHd0HNom5j3MBlFEbOD2+2ely9fxoUjmq5I9hyd0zwjLwvysog08LErqQ+RqaQzgxkdOPn/u7H/lJx6V4PIZLuRYp56Mvd9vJe/TYsPY05gKqCiVSW0FH9EKrrEvIrfMxWkMjX/itq4LmcsFwuapr2Ven5IENRD/MCf/InfHwSkmXrVbdveOpBKyuf3+z3ehvRvUz5j7AN4jCSUil1M56frpFFEIKThQ8Lox9heJn61eATKs9lsxu5iVeyl4OJ3nO8nuxlcX2NGjL7t9iPEPe3WqmMtgotef2YK+q5JZyXK2Y+SrhYnUxzGtm1T9DP0PTqA7y1ubIQtTbGDUpHnqKLzW1idtJGc8KqzaJLaEbtYnqxTn6Ysy+ib2H+xaRoCmrKsUJnh+mpDVpScnT6OSbGRIY2+fVLOX//rf/VeYsmDPsJms7mVkxeUbborppKmtaa3XepgIn2MJMI4HA6sVqt0Pa01Qxczfl3Tpv4DTnm8c2iOgI3sSmMMbswmxszk2IPZ9qP6ttFnyOL3JfHkfUj+ibWxdb28kxsbdGsVJzzo27S5KWI4JaNOKWyHIW4ObUxCOeUaRmm8iX0PI3E+km2apkmo5RS2liOAxS+Zap3SjIklTOxpZS0MEWauZvOxsYgi15pN01DN6oR6vnXrHEEPRWWLXZyeMyDZtLtEDfEvXr58mTB+EZrr62uapuH999+PIafSnK3WyQvvuo55PUtsZZlQMVFdGMYJrHAujx1VRuQvLk5A62LUSh16hKGdGzuz6GMPJmC0ySZ2TR2GWCtY5ukdxSxIeCdDBCEKynjISZQS8rKKMLmPDT/1WFYXtKLtOxhNqFw/L6IQujBS6cb09tXmJkVjfd+jqwoXIpLqvccO8f6PTk5jE86uwbnYjKMaczfCVXjruoYPPvggtpvdbpOT571PXb8kMye4AMTmGk+ePOGHfuiH+MIXvsD19TW73Y5vfetb/OIv/mIiiUJMcz9en7K/3vD06VPmRaxyrucFs+Xi2MVsDF+HsXmEHg/ajJ501D6r5UlUf0HTdT0EgwoFmZ6D0fhgsc7h+3gKW1YWlLNIHnUhdlmVohHvgLHoZGrbBU0Uc3mkxMGyjpquORywtmdelNg+pt3Xq1UU8hAos5z333+foipZVpG51LZtdISB84sXUUhHcyjmUXI83SECapkxHLomhpNjGF8qBwRMYShyjclyOqvS+jx0isuDgrDf72+lZ72PDS7FfoujODUNQt5omoaLiwtCiJXCn//857m4uOD6+jqp9RcvXrAfewO8OD8/onRlSXeIeYnCxNDL+9gco5wXtPbAMNLPohY6Jr5AUeQVmcnROnZHt8FO+I4x6SW+SgS4bpfR380wikaQqEc0l2iMEAL74RhauhFhnM/nGBTrsQey9DpYn51GZHak5FVVlcrc5RlEQJRWab601hSqwhg5mWWkr+cKDITgU1JuGDqC8hizTFHSQxTDBwVB2rpK6bXEsvv9PoWOEp+K2ZBIo+vimYer1SohjF/+8pd59uwZ5+fn0VGcz2lvduk0MmH4hBFqFrJpGHkQcj8dFMrJeY3Q957gGc3PKAhZMS5mRrCxi1rEBvpIAx//HpthA0ETwqhCraOYhJDi0YuHfxdfiKnzGFpmxpApzWq5ioSaskonx5RlidJ6xBRgsV4kipw0+hQHVTbc+uz0VqjrDuK76LHqGrzPcM7Stg1FXRBCDSqG7pZj+d1D40FB+Pb5S1arFe/MlmCg14G9i5DurCwIQeNVRmstSsGj9ZrWGApjaBTUWaALA7tuC8YynyuenJUsqjOapuaXL77OyXvv0bY9/cHhLew3DVWtqcoSfEbTdGhvWVUZrt+T6wFXrDHKJaDFhZ5+6Knn88iAci2zUnABjb825PmcvDDkWT1qMofrB6wfyLScidQxy3I651nUmpfXV7G8TZeU85oXVy85LU8pVyV2HxHPIsswDt43SzIPSmlCWbIocvLCAAO5UXjXc9hH9fzRRx/GvEs1ZzZbcLM58O4H7/LVr36Nr3/ru2wPe7KsJM8rbvYHTD52TTGBruppfYPvHeVyPETcZITeszx5hHWO1jps56jXJZtdpPpntcHat/QRfuCjLwCMDSs1s6rmvS//MNfX13gfVdl6uWJez9jv9zT7A4emwTuHImA0DG1H1x5QwbOoi1hQcnaGHXr69kCzjy1om7altY6h7Y+HVSwW6ODxtmO3tajgWM7n9OaIX+RZluDgi6tLyqKgHM83OhwalstlrBsYz2lWQSBjg8pylqs5djzmrywLFDE51h421NUcbXKC0hAy3nvvg+TJa+I1vAtU5YwMnSIs7x1lkY2q2HNyErXiahG7sz99+hilFJf7AwQdz9pWiuU6+hnrxZLNPpbAnz46wbmRVu/GtgMotNIYfWwcNqtq9pstpogaPK9Kbq6vsdw+6/qtBGG/iYdPrddrAIau58XzT9ON6qLkZBWriLpDw9D1OathJQAAIABJREFU5POaECJuYLuejkDwltViPmbZckJwEHKW61N+4PNPuXhxyXbfYG829L0j0zEdDJGW7t2ACY7MKIagxh6GcVLi6Sojf9HHVLnRmswYnI7nRUk/JVHjEk7qsWBUj5OV59no7FkIGuc8wRvQkfWjMHRtR992zKqaTGm8jdHKvKzQWg7qtCgVkkZ69OgRJycnVHVEPreHhr5v2XUDzgUObUOeF8zm88SB0CObOzcZeIcLACGaHqPRhaLUY5Mzk41HDnfUxqCVGo8ZiH8qQvxMvWVdw8l6HVOpUqE70r4Yd2IIsWrXDkMsFc8yyjG6kJ2XZ7HQQikVvXEVUCH2dT45OSXXmvms4tHpmmHsJBYY6yGsjX2PvWXwniwYCuuo1JhuJDpg+EBwPrbUcz62lzMZugCcJ4SxSbfWKKS7iI09jfPY0jZWOlfJYVM6p+0OeGLvIecDbRsjJEI8eMugsGFAEyl0Qg6JvM5ZPGCjzG5pJaWlp7OF3OCCjc6wHdD/L2lv8mPbkp33/SJi96fN7ravqaKqSIqqEmkbBlSWKcATTz3w0IAB/40GPNHII9MWBA9siZTI6t99t8vMk6fZ/Y4ID1bEPuc+mpQrncBF1X0vXzZ7R7PWt74mPRNfjTGkVgw4tQfjwTvPYEfQWhahUVg1YTzgHEWWU+aF/FzjSJpljJzrt8sxwR98Ilhrub6+lqM4L9hut+x2O0kyaVt2gdatEMtXb+TFxJ5VKnCoTw1Uufgba3m426sbxv2BRZny9VevZ8Tx8elAEZg1cqSJCqifJtphImWaGcxeOenelRJ62hQELmmKMkjoVSTfurNZp/eWVBtu7645HY40TUNR5HOr2ncCNAlAFJBHJ4BaVmRkOsOFjmUcR/a7J/rhbH338uWPubm9klyJxRKdiJ3/1E+B9dQx5QnjYAVCHy15WswchizLMErTt51ksSstEnjk5HPeMoxWaP/aUOYFaZ6Rl6Uk3nbtF2qsS3TxDz8R1nIibNeSyn48Hjk87WlONdMwzlYuM/d/nHBY6l4SR4amJi9SsFLBvnpxx3K1kJfk5S5eLqXAe/v6Fa9fv+bt2zf86je/5a9/+WuyRDFYgV2TSvgKPi1FS+vEC9l5GMJOLbIMa0RFZcdp7sN9klDXNV3f0DUxLdWwqhbc39/TnGrqumaxqDgejyFTQVMtNuhUuAl937PciGZhsVwwdHIS5kajjaEf6lBnpLzY3PInf/rTeWiE1jSdzElmpBBNM/SCanrPqRXmdD8J9nC9vUKXiu9+9xtWqwWLqpJuQ2uM0qLxDGhpojT9ZBl7SXnRSlhdXd1gw7NOtCCez1oIwMxQ3u12rFarWToWTSQi3y/evd0QId2J3/72t8JjyAVbOJ2kDb26upL5QtthhxprHSoRm9j1eslXX7+l7ge+//CR0/5IWhRMDpQRnH5GGEOu081ygfeeLM95fHwkDXB2VDv39mxhE9VOIC2qNsx50pFj4ZwjzQqSPAtuJp4yLNirzUZeprUQDDkSbVDaUVUVr1694uuvvwYEX9hcXXE4HWehTlbkYRTuaNpGWlcrUrgilSGdcuLGNnQ92+0W56YgEoIeS55mQvIN17VDTrGYR0V8F/05tCOacj1rIRwOh1mXH0fG8YtFosTl5EwphR8c4yAilKgfyLKCw+HAarUiK8oA9Ah0XRVhyNINAVpNePPyBZ/vH8SAKktRJuNQ9wwh/6DwZ//hOPGzXl5s3basAwqHVtRtgzNn99LInirLnCI6igTfIWunmVmkM4HDRzthsbNDbF0fSbShTMW9VU2ORCvuXtyy2myCo7uaMY/4DHRiUD6RjO3J4Qg5z5PHeS2OsQGXuLQHtvh5J3sFy0VQaVtHkWeUuUxYj8cjwzRSmAXKaIZmZLFekYcUGq3U7Ab3By+EEYfVkpRqgCmQWS1IRY1oEQgTuXEcwU2UeU4RUDucuIF99dVXVNWSoqgwaYbznuPhSO0taZqA92Im4YWp87N/9qf8k7blYX/k8/0jf/13vyE1CSZLKUygjA2CeHahP56cBa3QWYLWoEbPbv/E6JL5Aa9Wq3lg1E4tJlGYLMrXzxPOOAXsJ5nlp3lCUSaCPdiJQ/NEVRS8uL7i5uqa69trlsulsIzwKOWZ/MQ0eOq2YwiL1Tk4hUlrkXpwCGIaqv8xsLdNmpDYlMlN6ERjtJh87OsTVVlSlgXaK7ppZJhGquWCCU+aCxSv04T1ZkM3ysl56ZD3By+EarHAJAk3t7fsdju5CgJo04UvrsMQah4zqzN8u9ls5kr1anvD9e0Llssli5XAnqP1GCWeBsqOZIAPPXOapqzXS4pK6HHfff+euu2Zhp4+hGzbcDK0vZxYjsAWthNtJ/wInSbYJugusJS58BeHYWDqB/IindvHcRyxYSKZp4PkWHkrFDOvcM4z2RGNpyozbq+uePPmNdv1Bp2cOYHFQnAViydJc5iHXAqHLFZlDH7owCuSQpNqg0HNwyEfKHPOgzYalSSgPWUuuMf+dGRdCi5RFSX39/cUVUk39Ax2olos6KcRrCTWZVlGnjwzEthkYvWa5NkcIZfkGSZL5z86Teb/n+QZWZLirfvCVjbPyvnlnmfrKev1hvX2lqxaMHovbaMSl5WuqTHKs1pUvHpxw+uXLyiyhNPxiWEaccEoS64OST3tp5HRWZq25RQWq4e5jvnh8CgGcUcI9lLI0w5ieyMfwnyWz5PF89VXb/n6mze8fHnHYnlGK723Mwx9KVsXtlXgIxLYTVoSWJSXOiW9gLC9Du4t4XfTiQnuIgqTpaRZBlpYz93QU7eNZGVPMtzKyoK2776gGj57DK2MxjvH/ngQ80o7cTgdhUuQGApTooxmcrJrTJow1WeXcpfnOAuWSyt6AWoiR2FwFo+kdjhn8S4WgwNd05Jai0bx7bdf0w39TIYtioIkO+sPdZpQ+AIXWsXRyXSwbWqq7KxugqhOStAmoW7OOHxEFmWuMpBlFcqA1qkEhtiBq6sNr17e8c3bN5RpJuhp3zHYMxt5GAZphRMjLStnToMNZFSUYpVq+l5enA5hHavVKkDMIW9COXQqn2+dZRoldDRLUtww0jQNJ3ciLwu8FuNwrxVeQdf3ZJwX17Pp7Ou04PPnzzJ6Xq347rvvcEsRYKrwiznbMYbV3/c92SIjTzNWiwWbYkEWLHxNklAkhiRR1EMtdPFCcWUKzLJgN3aosqA5njjVLYqMQz2hW1BO8c3tt6g2Yf9uT5sODKonyxLypKCta2zX44aBVVow+YFxcBz34ig2JIMYcHrPZAwmz7FKgKV2kuN8kS7xys+uZjfpmro+sl6vWa8WNM0JVSX8N//qLzEKjvtH9o87HieZCi7Wd5g0waqUySKwtAKlHGkuwFIVFmnTBzMRtWIajhijaceOVzcvuX2xwPolTdNgJ89pf4ReqGi5KlHGoqzGTxblCAM2oa9bPN4J32F/eKJvWqZ1waoqcLl5/kKIrYf351DM1WpFlmV8/vyZvu9nYyjvPdvtlmN3pHc9qdK0MhsVWlfwK0qCkXSpFCpL6Pf9TCrV5swA6roO78CYFOUUh8MBrTV3d3f8/vj9lxqEcWRoBTNo2prT/ijFWFGwXC5puno+8v0PmMtRTxkLqSkAL3UtrmZaa56enjBG8ef/7J9KNT/0PD09Udc1RgsHQ+qIs0GHDzvY+7NZhr+Y0nrvJd6nFzucSPWL/ESxE5mCZUARJHRBh3E5Jr8QKlsnG/LUCH3g5cuXuFJOwWjs/ayF8Pj4GGRtXxIsI5s3HstR6GKtJdEGzYUtf/hht9vtmZ+fZjitqIeOLJA8xnFE2bNMXSlFP/TAhJ88T7vjjPrFoy4WZ/HuXy6XEHadUupsy8NZlDqFn9k6ua9XizV5oHN1fU+qDXmSMmrhMLjg6fDVm9d8++23vP/wjqETrsUwDORBVVUG/UckrHh14Z0wjEyBeWSdC64uBMvfjs1mM7fTJiCZUTZwOdq3diBJjLC8w0bwF4s6jrCjYHez2bAfxKtiGs6OLn/wQrDWzvGykSoeV9fd3R3GGJ6enuYg63fv3rHaLjGR6p2lZ7u3wNOPvbJSCj/ZGQMXUcc5r1kBp/qIsx4sHI8tRS7FXR765mNgDCulyIuzQ1rk8zvveXp6RCfmC9BrZhOHk65IJYSD8Pc8z1kkC9pwkmSJ4eWrF9R1zW9+8xvcJG2yMTKQigDXJf1dh9/Vez+7nXl9VjNZaznsZJPd3t7OPs/eqZlLOY4T0+jAR0JMT2ZKPGdP6ekCLDu1Eo98fXtDURRyCiiFckq0FcMzr4a4EJqmmZHF9+/f8+LFi9nRU2s9u6q8efOGpj3Od1aaSleB0Xx+emQysEQqaJOlGHU2sJJWVFg2xhhsCO32gDGaPE9JM800ORIlfAiQQczpeMQ50WEs19Le7k8HnPXkWRoIrZAkBhOqca011jnyNMWOI4f9k+Qx5zkJYKeOF7c3eCuzgaeHez59/3umSfiXq0UgySiRs0UdZeQxFgHqxujz1RCuj1Mj7GvrxKys6xuSVPO73/2O1WpN23aMgyNLhzCFZTblGvthdlu11mLd2f7vzZs3OOdmFthqtYJRtBTXi+3zJW/b7faLtuvq6mpeHJd1Qfz31tovQiitF7GKD4XZ49MTXinSXCrqtmlIJwXKM00Oc0FW3Ww2s9Kqqzvapsfakb4fZupc3AltK7S2qno1y/IAtFFgFIazEEXAnrM4JUkk3c1Ndm59m1NNgsIohHaWaI6HA13XkCSarm8p8+RM1RvPftLWWoZpQgdqWdRFRojZe880jLjJ0vU1yZTS9+fA7+3mmg/vPxGtAstSnNKiSssHyjsw8yCBmZMRT9R42lW5SN0eD49zZNAfvBAi5TyKUPJc7Fv2+/2sdYzcvP1+L2TUm+3cqvzwQahajujr2xsWhfziahCeoXMOrNDhJjswTeLApnVG37Qo7Ukzg7UGn2R4J0OWvu3mmuX+/hPL5Zph6mcrfefFodQphyX+XAjyqBSJUUzKo5UnCeqhru+52WypT5KTWBSZjJdrIfFO40Cel1RVOReDDuTidw7sOSMamF9ONOOIIhdjFGmmybJk9nX0TuD2tu1nmWCSZEzTMMcdX5pweM71z/fff49SiqIqKctSbIcn2ShllrO8q563ECLefX19zTRNfPz4UeYDQcSqlJpFJlprXrx4wXA64sIJgFY8HvZorVlvpSCavn+HMprTQfAINQhJNs1SrBVByGq94LB/mO/TJNXc3l4FUcdEW7fzQ1N48lys5JIko66PpHlGhaivFssFbhCcoG1bFouFeBjc3snXmCzN8SRMqlqscso0ozvtyTcb6Qi8iFG//vqrkJlwTZ7nFEUhaWzOsQn2PCAnVdu2c2iGmyY0kGYZGoVTjirLya9WbLdXXG23PD48slgs+N1vP5KYgqvtnbSa7YlDOI2GYZC6apCFs1wuRakVupztdisd1DSy3wsNPvXFF0X2P/TxjyOL5hxoFY+2syjk7DN4WXz1fS+7PTiit21LFub88Xhra4nFTY3h6ekwk2FjXTG3hMH5zHsrXs7ITvbBfkc24dmjwdoxkELUfJLpRBi/SvmgiZSdOIwdXd/QNicSo1guShIF60VFkSY4O5EYTZFnFHlGmiYsq4XMBcIm6Cc74/jxOoxXZPwzTRPNqWbshzmjcrta8/L2juvrLavVcv5dImlVrpAv440uqWaX5JX4Ti4FN/GKGIZB6i7k+aXZM+P+RE5WzhBsrLxnF7QwBo7uJeIefmEYEaaHk3d8//EDV1dXrBfLefEcj8cg8Iy09EgyiVK5gIZZxzjKkd0PLSbWIIHSfinSTbKYZd3htSwSZ2SgFDuUSyPNDx8/SZdQiLtbWZacjkeUs6yqEu0dY+AgxusxGn6khWg6+77n6SAFc55mc6vtw0KI3y8NWRbL5ZLtZsPJPALui0VTn1qMSfAerDWztC7qR1Mt7WN8hkOYTUjxe3aOiz5XiRbjjtGNjO6Z5NXL8XM8IYDZzDpqGuN42hjD9XZD07as12uxiV/JnD/6CiShU0i05ulxR5EKnTzSx1RmkNnI2btQuWjvNwJuvk/7vmfsW8rFSjwRdIpJEz58vqfrOlFkh3FvXLRpmrJdr+fI3P94OLAsK1kIeY4PpFyscBHj2DqvSk6NmFtWVUleVKy2QtzZ7/fc748z4UaIvsVcC+R5jgtEGTtNDKHm6qd2lsQJfhLJNBnRGe383AXmTpBgkni6zimwqxVT0DVkRk7I29tbvBdTzsPhgH1ucEc0uYzEhssjRykVbGSPs2PpdrsVfp3WHBph7DwdDxyOAtW2bYsbJ3FRvb3l7uaWw16mhIfDgXHsyVNNUSZBQyFIW5ZILF+eZ1RVyanpacJpEYtVFXb98VTz9CSGESZJSJsGNY4cDgfu7u5gkqvh8fGevu14cXsNzlPkKVcbiQx8eXeLbY/Up0PAP3K8gkVZzTa3XdeRD+WMk9zc3Jx3b5pRBPmdHSc+fv8eHU7JRBumYaRrWswGQMxEPny45+HhiTzwC/KsZLl0TNOStjuKp3RvwTHXTrFriNdgN4ZA04lZCm+Rd1bXNap5JmcxSZJZaJJl2XwXLhaLWb18c3PzBXT5+PhIuVzw+PjI5uUtD0+7ubVJg5gjBntn+vztx1EGKL1ydL0mTc5AjfIefhAdHPkFchQm2EB92z3tWS6XaJ3QBzZVH7qfLJOhUnxwdV2jATtOswdBdD1RuRFG0tUVaZqy2z+Rlwv6cQhCXPdFDHCWZvOGqYoSG36fthZHGRMWiUbN7Kk0G+nVwMePT3z//Uc+fdzTt5qb65dyDWQiyDkcNc5NWDfix3P9IImyZy5iHP87/Hx1H+rDF7zFZy2E08M9RZ4zNjX1QWhc26stddtgEvBac+pPsguqkiTL2OSvxa52vWVqR24WW/oAcx7aXZifZ1RVweh7vJrICkWiNMlSxtV2mqi7CeMrEhK6pqcKhhxjNzHUDWM7UKU5TmnGSYI9+2GiyDfsH+7ZrJcURmH3oHvPbXmFb0aK5YLjsWaz2dCNA4fDXuj56wqXQ5bltK4jTQf0UrHvnsh9Tr5MpbBMEjGyygqaw57BCMm2NzVZvqJYJyTGsz8dGOnRuUQNKWDoR4xSpCalWlfAinEY6ZojXevpxoHVdkO2ciglBNWRCVMVJMMKhgk/PjEGed1ms5yZ3yiLcxN1I5PivEjQxpOpknEa58nmsxZCkqb0w0CxqMiQArFpGtqupVouUaPg8Hd3d1hr+e677yjIZtj08fFB8PxglnF9vQWkr97v97x584q8OANQOIe1yXykdrXw9Moyp2kke3mxWNB38kt1/cjT6Ujf9ozWsV5tmSZLmomUrSgKTvsT+eJKrPG94eWb16S5+EOnacqvBmHuGOQuhSCCQdJh4h3rHKxXm3ASZbORNz4EgxSGqR+oD0eGIAOMvtFVXoU8TE1elmiiZsHMc5GiKLi5ueGrt9+AVqEgLTg1DafTia6T6/dx92nu4C6leNMkptvGGHxIkRdv6vXczTxbDX13d8f+dJz7z34cGEL1HY+b2OrFNq4qqnlQElG7aDGX54IIxqpbaz0bWIACGzMdPHZ0tEPLFI53ZcC5iWkaMGkCVjE04s08ONBJeuYpJAlplknqejtQ5iGep5BpX9t3dJ04xq8Xy3m+ED+01njrcU4gb2njmB9+rGlid1QUhQzSwuCn6zqGbmToQmcVrG+zJJiUhu8TW71LZLbrOlab9fzM49eLesvFYiH6jDizCClvsauQgdqZgBOBvf9fCyFG10/uy9DPiA/ETiEGZxVpNrN+YpUuJNNuhqrjACoWn0lSzF/TOYceZYd0sScP6OV6vZYaxchofLI+iEk6dHZOVK0qmbwlqQ6tXkY/HplCQPeMd7Qd1XIxL4IIF0ckNNH52QNRCxYRi1OJFrVCPQsvsN7v55eaJgmLSkQtRVEwtGeMPz5Hr9RcaMefPS6ypmkCwwseHh4CpiJYwaJagjrbGUE0EEkYQ8bFEDZmlmX0Y//F1PhZC+Hd++/nFZXmwcpVKXSS0AVJermo5sFRxMsjyGHCwGWy0h61rfTh8QizdiTP5SFkIS5vdCPj0KMMFGVGkmrSIiVP5ETx3tM3jqbtcVZOoXIhSKfXimqxpFwUoYLXVKsl0+BZbzbc3N3KgIxg4jVOBP4IeI8d7ZyymiYpzoHWX3otR/whAm2RTTUGtbiQdSzLcjWbYoUoK5kRaNEcxEURjUfSNEX3UsTGMbP351woHSKL+uY4F7XWWlRoFeX7SBs//mASev4az2QxN0Mv/srjiAOSLGO323F9fT2fBFmR8+rVK8Zx5OHhgdPuRJqKGURdn2allKSYPn0Bnmy3a04n+XwdduswiBAk1Yar4Njad53s6CASvf+wR5mEolrwsqy4eflSzC604u7ujt3uCT9ZdKK4u7uinXLqqSctC47ffcfN1TVD19E1DXc3N5IZ5WEKOzPLMrSbMMkFEucVeZHPY2/JppJW1JiEYRpJ82J+6PEo1lpz9+plQGSFizgOE4lPse48kymKAqdguVhLqGlRUJYLXocB38ePnzmdThiTYowsUqXA6IQ0yZhGx/XNrYy920bG9McjQ3fOr3r2QkjzjKZr58KobhvefPVWelKjefPVW77/7h318cSLFy/YrjesitUXYpII5gg4xTw5NMbw+PjIepuz2z+xXq/D5G4UWlkiXIeqqkjSlPp0muf2p3xkGD6xWq1I85zNzQ2fPn3iJ3/8U9q258c//hEuBHdUZUWRVnTDQNt3/O3f/i39V1/zJ3/yJ/z+t7+jD8prkImnMme31FjnxCllROxm04pgIei9Z7NczQinaBH0DGDF+zpJ5F73WtEOPU33pbfjNEmcwd3LF6HWydjt97PT2qtXr3j4/e9meD/WC/Fn/fz5s/ychZy6h8Nhtj+MBeOzFoJKhAHjFFjn8JMUSdvtdmYJybAnufhlk4s7P2LuZwMqONPR8jyn70b6bmQYbVjlBqWcaA2VZs4hQOKEXAI6lRFwUuSsNlvu7u6YnA3j6OD8mqYURY5GcXIdaZ4x2YHN1RVXV1dcbbaYbxQPj/fkWSbq5kTYwlmWkQTG05n96+aXCjLiFiqCErV1cIpRSqFdMAGNBFQbrXzl+QzjyDhNiGP6OWg8LqRYN2h9FtUejzWn04nDbheYWwSllpmpdnMeRUAYV6sVXTPOz/7ZsvgkKnXCruh9z6ltZtpZJKeInO0U4M38i5Un39yH8es0/+JyJBomD4N1dJ2glSiD0XA6CO9Qq4TUGLxXTELyxzkYRktayl1dVZXMRJxltaoosxKjNJlJeHrcoUZpgU+nA7e3t2y3W7Isk65o9wjWYfTZRzHLMoz1s19SdF6bqWQw+zlDAHJCppT34uPo/dl6p+8FjTSJeExH55nI0YxoJfCDCv88vOq6LvA2E4rczDqMCEU3TUfXhbmLEWc5UZSdGVnPBpR0nqImKaDi7LtpGt59eD8PjyJq2Pc9q8WCh/un2V4vz7OZYBmr2DgskQyFgaYXTGH3eKJIRRSzXq9J0oq8EHn9ZB2L5YrV8pq3b9+ye/hr+n4kHS1pVrDebqgHabG++uorbq+uZyeR//Pf/lsWiOTs/cfv+cUvfsGyKNl9/CiK7qYFJ51JWuYy0DGG7tRwOn0gWvKV5bmzQPkw0VSh4ldk4cpoA5vbBlsAtGaxWJEVOd5B23fsj4cwdzjHDVrrGO1EYrJ5bGxMyhA4Cbe3t6zXa+rP9+wPh3kzda3wHK6urliv11LYpvJaI4noh7OiP3ghSPvmIAxJIjQahx2x3fHeh3yiZN5F8ZiUBRRjcc8u6fHrNHVH343gW8bMUlVLkiQjK9IZ1pYQD03bjwxT0DCOA3lokzabK5xiTlCLusMsNWw2Kx4fP1N3wqi6vr6mUIaDuadtWqZ+QJViemGMJLHWbcuwF0vhohRKXBpyJZRSTHYkz9OwsP0XI3EfrgGjz9Z2PmxEFwZp1lpsOCVjpxFPg0uMJn7NiFcYYziETRevj9lLIU0Z7DTrNeM1He364t+ftRDiceXCL5IkMpNXnLOHukZMI1eB8BFnAFJkxSzCaSZyXs7qrR1nwUecpjVhR60WSxaLhXwdpecpaARWojTMWitFU6LYbrfiHZ0mMyfh+vqaByfchpubG2FWdcOMdUTVU6xt6rrmYbcjs3pucyMFTaKCK9x4edQK87ppd18YjGZFRRpOxCnmTXl5pkOI70nVeSFItyGj4yx0J1onM97S9+N8VcY0Fu89SRaBJEE8vfczfU08Hv9xPcP/p4WgGnnoNzdXUDCPZNu2ZbO+QmtN1wxhOpcwWs8wOUbr8cpzbGTqaAfI8gzrHJO1s9g0yzJy7UhyjXUNaWrA7TkeHS9fFaR5wnpb0fcJQ+/YbK7QqSMv4NXrKz5/vse7jqtVQaocq9UKY9Jgp6PAw+vr15AY3qw29G+/Jk01x/3AUFge7BNTOXD9uuLNVxuOD5/J20e244l8/Q0v7m5xznG73nJ3d8O7D+/JvHg7N71HJRUmy7k/PPLd332m6zrq9oRzlhcvr6lWFVmWsFgjsxklWsqygKrMePooAR+H44E8L7m5veXu5SvKxQK0YZwmxkR0pWPa4rXi6DpaRnyK2O0E++NonxcHhNZaPn78yOvlFpdmNKp5vk1/tIiNOzhKuSKz2Xs/5xRF3uAl7j1O/VwRRxg6Qs5a65BUmuNThzEleZGyXFas1yvKYhG0gxOLxYrtZk2SZCQm5cc/+Qkv37zh7375SxaLFc7JyFyH49g5i1cO5eUkeRmyj+r6iNYKO47kWYkxKW+++obrmzu0ThitY7nasL26wad3KK24vbllu1nTDSNv33zNw+4RlaSMTc3h82cG6zgcTzRNy/4od3dR5Oz3eyyW29trOXlGSELiyn5/oO1qmp3NmOeWAAAgAElEQVSej/UsnErjOOKbBp2kEE5XgCRA+5ErGk+oiEJG0OvS9f50OnFQZ0KNTp95NcQfMgI9cSEkScLTk4BDd3d3M6Us9tvRv7Dt6hnIGMP4Nqa/a63FFMJKt6CNJ0k1RVGSprIL7u8fsNZzczNgdE5VJqyWBVWxQr80OC9IXZrm8z041y1OSKsqUSFRbRBRawjIKIqCRbXij775mpurDYnRGJ2y2hwl5GJckGjFdrOiqgpOhz1ZkYerSXOoT9w/7NifjjL11GvGMbR9Bt5/es+6W5PnKdub9dzWZXlK03Ts9ycYpJbJ07PeI3YMiZIi22iNVWKKFf9drBkuyUGxELykymXBQeZU16g8p37urOHq6mpeXbHyjMdQ/Ih39jRNIcIm+3v3r/z7MeQ+nXtarTV9K0dakiZoJVIvpQzr9RWHQ83T7sDD/Z6h87x+/Zbb2xf0k2NVLri5fSmF4yBCF+slEDSKSVDihu7GgUTJLKTve7Ik5fr6Fpzi5u6WLAysVstrPn36IIt0ccOiKqjrE2qwOJ3w7sNHTJbP9DDnz/e7tSNFea6NBMCZaPuO1+VL6tYj8X4DDkOSleSp5DpECRsmPC9j0EkqpttDP2/Csevnou+ysDzzMrLzLMOLM4wnweqawUM7PXPWEI+a/X4/Cyy895xOp2Bvz1xATdPEw8MDr1+9pQgJZ9aJclfGqG2oksfZS6Hve3KdB1fSEqNTinzBarnhj3/6ZyyqDf/3//Xv+Nu//SWHfUPbdjw9PbG9+5pf/OIX/OzP/oy3b9/y+dMTWZZQlHJnZlnIQ0oUJk9IfEJVFnjreHh4RFlF9c2SH3/zUw7HOlC5Gn733a9pmoa/+Iu/YN8o/vW//l/xY8+iLPj86Xv+1b/8F7z/7h2fPn2grluSLAU8RZ7zJz/5Y9brNU7B58+f2d6smaIWse7IsgJl5Eod+4Qs2eDGgbIsePXmNdVSTMzR4uLuA32tb1r6cWAchjkwLFoPRz/KSPq9LHojk7oeRkxecmx7Njd3z1sIcaoYgYgIU8Zwr3g1GGNmfmNsG5fLJXVznFG1H0qzI3BSBZcR7yTgsmlkUvm023Nzfcsf/dFPeP/+M7vHE+No2e32fNgJGvnd77/nv/6Xv+BP/+lPqQ971GzFv0CZ0Dcb0MN5zJtqQ5aI/KufJv7qr/533n/4hLWe7z995ul4oPcJ6AUf7h9I8PTTyNPhyGq9JklCELgdsNbTDQPr9Zof/dGPAALTacPTfk9bN9R1w2F/Iq9KQNN3Fq80SmeoxJJkEgccR/PWwxSkAPFZKufxkw3X5f2sN7kcKsXnfHli7Pd73JhQ5RX1oWb14pnElDFo8WMLE79ZVVV8+iQECUkVOecfR53fdruVYztQwEwQucSchNgD9120q/EYEy3lLb/+9W/5+c9/zps3X1GVkk6y2WzwTtG6AkzCX//1X5Now5//7GcUN3c8PHykGLOAUAJGz8EVWIHIy7xC+YSxczRDz/t3n/gPf/dLlustJi041fe8//jI0+Ed67WIXJxXLFcbnNKkWcFyvcJ7y35/xIUwEqV8OPk6SYLRGu9lXtONE+NJjLMmaymKat69eSkO8eM4igLMhFmM0ngjrqreh/iAtptrgbjrYxt7PB7nUzxeGeM4YgdPvliiPVytN89bCLe3tyI+SdPZBqdpGtq2nbmK33///Zz5GIvI1Wo1Xx/xc9+9+06GRGk6V7sx3aQorsKJIbVIXbfsdjt+/evfslwu+clPfsLDwxMfP3zmeDxillJkNccD/+bf/Bv+p//xf2AaeqZ+YOxD4ZrqIEcbMaMN19zEYffEOFoOT098+PSZx4cniqxkuVzhk5yvvjY8PO158fINh8d7QK6/N2/f8ObNG6wdef/u93z48D1ZUfB6tWKxWlIuKvFvSgQCf/v1VyRZxv3nx8Dyhq4XV/ft9mbOnlosFiLvy2XDeRVFwVKL9X2PHSfKvKC4y5n6Zl4AT09Ps8zg5uZmdqs7Ho9Bym/Ik5zT/Y4313cMh/p5C+F0Os3kkxirmyQJV1dXc1RuJFIkiWQONbVcEV3XsViKDd+nT5948eIFu91OKOuBu5AkCcf9ibxIqRbX82pOUxn8/O53v8FaT1ks+Mu//Eu5804t//5Xv8WOI7erCqM1T58+YMeesswx1uPHCVQKWnwYVQC+3GTZrLa8f/eB+3cf+fz+I1/fvWS8hbrvmbIEWHKsT/zm7/6G/+yf/5x//rN/yudPH3hxu+Xx8Z6P79/RtjVZUZGXsiCr5QprxUR0sViBMpTVis3VLd/+uOd46s7kEqXnInxRiX2h+FSK/ZD4IkCWSXudJfk8Uu66ju12y4cPH2iD0WlEaK+vr/n1r3/NItj4Xl9f8/HjR67KDZkCZSfaw/55C2H2BrxIb02ShN1uN9cEm+A7GLuAzWbDcrmcF1G8w87eSef0lHEcub27DtnTifD2Ex1gaztL64xJw8DoBT/72c9486Mf0XcN73/3Hb/71a857h755uu37Pd7prTD9VU4VnNSrZi6nrbt8dZRJQVD23F42nN42sNoKYoM5zMemhPdOOHGgfWyJDXQNgf82LG7v+egzlkPSThxrIdhmlgoyZRUOJwTYE3avJzFIsQeZ36WqimlWKz0nH+lwkmAJxTfoq+ILWJ89pFuFtv0+CwBXrx4gdZ6pq8Lk6yer/NnzxoWi8Xco17iCefo3bNNbqwT4lHnvccjpAgZTE2huj0DHwIPl+citCzIMnE0n11LgcUiY7GoUMrTdQ0/+ek3LIuSj29escwTmsMTfXMF1uIH8Y7WqeQ8oAhZDJ5xtLRdTX060Z1qutORu6trrNJkduTT7gGcZbUouNlUvLpZY7zlxd01+90DTXMKdsSGCS04vrWkzjP05xQbiRLSpGmOScUkzCkotKYoKnGrM4YssxeDuOBX7fz8PO0gxuZTL63jGJ595ElEFXgsHBdBfxkXRpqmtLXA/ss8IXuuvV6cG0QySXzZ0atwmiZ2u91MnLTW8vnhYQaXopVLJLYInzG6k028fPmSoRbrGNSEUhZtDFW1oO1ObLfX3N3dsaiWpGnJerVls9lQLAxd03J3veAv/6v/kubhiRRh/2hnGWp5QB7NiKNIDOiEYWh4+LjDOHjz4gWFTrh9cQdJitOKP/8vfo5VYj7RNfdMQ49t9kxpQqosL96+4XA44LUR5xWTkCSafpzYdcd5IUSrfBQo52j6Y6C35aS5QRsBlpJUkwXZnJvkv+1amcZO/TSftHBOqI+MseFiUcTUnHfv3gmRtijYbDY0TYN5WYksfjyQqex5C+Hz588z7y5OuTabzfzPo8R7ZjkHEMl7meWPk9jDSGG4mHvg6K2wXC7pkdFuUciJ0/diknVzc0OWyWgXX/PNNy+5u70T8Uo2kRkj9UA2Mj4dsOPEFAgbappw4TBQSmKF7CRBWC6QaXKTUGQFL1+/Yrle4zQU11fsjgd+//07bK958eqlROs+PdK2NYfDk5BkvIVwl0fY/MXty3N7bC4IKMH3ObKdkxDilaYpnnF+rgrwLl4nKXb4UlUWndTe358kGyNG/YQW81I8HGu3siwxaYpXirppyJ5rr7d/ailLyLM2sH3TEPg9UhQ5eZ7gfI9nCEqcFqX0rG4WtE4MvR/upZvQKqcI9PLd44l1ltG0DX3bs1hIBW7UCpPeYr2mGQxZteE4aMbHI6/zJVgFZKjFmoET0zLFjROdH4GRq7wiKxVaO8auYdsJuDL2NcNCYbFMlSbdrhm2CU0hjJ5GHen8nqQYKa9X9Aq8G1CrBU55+sDcjoJd7Ai+Z7FY4AqLVgqjghts1zGqEWc8qU4wJmgWrSbPS7xXLIocby1D2PXWOVo70o09ZIakqmiPJ3CI8Fcp9JTBkJD6ktQPGG0ok5KmbiiMdGFGKbAW12mcSkmmBZkzpPYfNtz8RxeCtHuRYn2iaaAfRO5+PB5RyrNcVaHNGYK9/GoGMyKNDfji/roEROLRJ0OSA3Xb8Pj4yKnrg0vr8gvj777vmXyL+KV6IoXM4+cibFlWYciiyW0GXXsuWrUYgyZ5hkoTNjdXMwADiG6xKDgcT4KOBv6Dd2AnuXvt5GaeYJZlVOU5NjmCb/HndUnkGaTz5pjV0akAXUNgEE2T1GBiTibkWLERaDkdDhyPR/zErHO41ETs93vyPA8i3YrHx0dBfdfpf5Kv+J9cCGUZocvzSkozSSWRLGiL0SlWRa+Es1F3XddkWTbzG3e7HafTaZ4+xi7DaZmSPTzsJH/AWnSS8PLzZ5abLZKZaPiLv/jP+eqbbzE6w5gWq0A7C9OIdiNd35HnCUWaUaQaP3SMvcJoRZpmDOMESrMol5SrBVlVohLDeivqq0hCZaXQJuHFy6+Ypr+ZQaJhcHhvZs3narWiLFdzSlt82PEPgYOQRA5kks33eVFUcpzrEWc909jP/12E6kHjxlBgJwlJoNV/ePeRMSjMoiq8rmtevXo1W+hFnObu7o6PD5/m7uLZnEXxGTzDwdaNdN2I1orVaoVzEsubphLY7b1kGcc7sO/7uZiMd2FZljN9Kk1TvO1JM8Pmas04Bss8ZaRPDtqCfphYLn9Jnhe8vLtjWTmUE3dUwq4Yxo4iW6AUKG/xVniDaZrPtck4jqy3a9EkBJKocw6VGFAaFdxTtdacjs08BBsHS9cOKAxpkqOVCFjKYkFiUrxTIWT0S0OLS2g+/v3y5LDTOX9aYdBaMBspxhVD27F7eJKUnH7AOUu1XECjhPJelqQ2wyt42D2y3m7OrDKtOJyOYdSvZqTxWQthHPsz3YozJ0EHbZ7WOiSfBAmbEqd2YKaxRyq71BYTl7xFgKfDU5BsCe267Tu6piNLHV5Lf43XPDw88PHDZ968fiI3KWmiUU7EonjL1Pf0xojZlJP+3nuFNQNTO83HaZIFirlW4r7qLMaeq/J43A7WkuQ5ubXk00Q2jpgsIw2nWRWo9ABOqTm++CwmCYMvlcw+SPFEiNdQNMyKuZPxzyVd7VQfaOtGWsjR0nU9dVMzTr1E/SCndNc3KO3pAyVPKUVRZgxWze8jdn9/8EJo2tM8So4/fCR+iEWNCUZPDq0dWVaQmHNSavzFL0WYM/c/cB2XS1mxSZaj2p58kM+/3t4gHZVmUa3ITE7fdrR1wzjkZLpEJ4oEza7vOJ72pIlkQfkhVseKzinGQfiCBOpcNwyYIpuZPBHrjwthtBNGy8JOk5yqXIah2DD/3GkigzIZQ+t5mHbmEAbirpIUOhGmnGcQ8SqNTGX5ucT6J8rtp+DCGo02rO0CwUbmOdEDIc524vONXMjVasW7T58BQTCr8plmWlmWBnKoiDJjkstmsw1EVqGkF0UhlbNzPO0Os0V/Xdez/+DxeAy+BXpmJ93f3/PNj69RStHV3dwutW3Lx+E9zoLWCftkx3q1pcgS/uPf/Hs21Y9hLalvylvu7+/58OEDRZZiUFR5RapTvPV0dcfqxVv+6q/+isVqxb94+5Z+nNgsV5Bonk7HWW0kQzDpz4/Hmvv7+9llXmtNkuVUQdQiv788+Nwk6AuhSmQ+J4lwLKSGONvmWhuvEAGS+l4WwKmp+fT5czANGcG52e7vdDgIFa5rsDjwcGxOs8v8bv/E3d3djO7e398zOjFC2+12IQHmmUqn2Sjy4tiMhWCSyEr/1a9+Ncvgor4gFjyXKGOapqJcDn1xUUhszf3nxxlRm7xY1GRFRVd3mCKhLBaU5YJpsHz+9J7D/pE//ifXIrvTHmudiFec49//zX/gR2+/ZpWvGLqeRBn6tuPf/W//B3/369/wkz/+qdjvhfi8oRV2NMhLmSZLP0x0/cg0nY/qeKKdxS7MuztK5FT6pdYwdghaffmI4/N0Tqh0eI1SBmPSGWuIWVldI3mZztsgrTuLbi/HzbEWiZsrutzs93smpRjdGEy7n01MEbm6CFNkLJ0kCadTPdO9jE5RuPC/krBprZ0jf6NELKqhImQdF8OxPQqY4kV1nOcKo1PWi3Xwd5xo6j3jKEeyaQz7/TEUepZx6vEo0IZP949s11dUyRMazSKr+Pzxnu++ezfT7IqigGnEOscwTXg8TshMX9zTEZSJC+GSSnZ5XcbCmNR9sRDm+YxKQrH2pdLLOYdBf/H3yDqO4/yua7DjRBpacKW8EFrDM0zSwGKyls12C0oa6n2Qug3DgAsLJsrz/qEP9Y+1FP/9f/ffemMMy8V6VueAZru9Eh8/p2aNXoSbq6qYe+WmaWYN5DAMs0IKBDd4//49ppCr5SaMUL2VbqAOCfWpkY5lGsb56C2KJS9fv+DFi1vW6yV3dxuqvGBoau4/fuLhdx+o0pIqLVlXC8zdS5z3bG+u2dzd0DuJutFpwr4+zS8iEkHHcaQNUvb4cqOcH5gXQjwVAEyq5s+XtjENiKGZJe5xUQ2DjNuNM4zjwO54kMJ67DjUci14xP/xV7/8W6ZB/CDHaeDzYz3XZ1HXGOc5wOwjaa1lvV4zqWg9KLXIv/5f/uf/V7nTP3oiRLZsHB7JriaMkx1FXtE0HUr187EWx6JaC8IYGbR5ns8LIvbLwzBIUaYt02hn8YgdxVsxNVomg9bSuhHnLG6y7A+Sx5iXhYSLMLFZrVmVBWW1pFqsaJ5OdLbjz//s53ycJvLQ2fR9z4gDZzFB/DFMgt1HvwIpCJl3ddylVXVOSovDs9haX96/X7aN0XvxnEgfC9NI+o2udPFP27aUVc5isRCrAe9nr4p44sSCO9Zc1lpubm6ElRSmjff397z86mu89zOs/w99/CdqBClspkmkWDLcMOx2TxfVaRseTCq+Qo1QuqOjSMQQ8uAyFntZrWUur4Iv4eRlZu6c3LVXV1ckWu7krm0CA3lisiNOiRRs/3RkdCOTlTzGNi8oTMpyuWZsRtRoGUdL3dSiOfQO27c4o3BKhkODEwV213Vzixl/nzw/LwT5/dIZDAMvmIWaQ2nnly//PoBsxKP/bIgZFwLTObpwGAa6vptJJc6vyBM5hUxoT8dxDOmy+bzgIldRsq9FC1EUhdj3c57/xMX2zIWQ4NwQikQXeuBErHaHgcScZd/T5Oj7lqLIZjBpu93OQ5/4gOJEM4ZqtKMLd6hFXNjF7RQ3oPEoDfgM5Q1NY2nbGq8Lsqzn4WnH6Ja8fnlLmuY87Ha82FyhA50+dYbf/va31EWG0prRWVo7ovMUp0Tbab2fT4QYhh67mjhYi4v+kiE8I5HhhVxOCeF8DagffP4XeIE6X5N933M6NTMCqw3YPGAPxkA4KYxx8/cE5rpnGAYeHh4wRrIxTqcT3377LR/uH+b64NmAksqWpInDDRNda9HegutYLpeUidi4Vcuc0Vmsd+R5St80gqU7uN99kklfkTP0I6MdwgMQLuHxdCQPMb4APkmwVtMM4yyUGYaRYbCht9bo7BajBsb+AK5l1x2pX90x5SNVtaKxjnSRwSJjUorGGNyYcPATSZqQZjL8mYYR20oolkW6mjJcH1me43SKJ8V5LXjBpBgnBSrDY+kHy2QtM9fD2y+QQ2vHGXOIiyMCckPo/+teaP92mkhQFBheVTf48pqn44Hm1DMphUlyvPEMrmazWc4j6Mgk77qRPC9mVPfjx3uqqqKuO/IpZWh6tss15bp83kKIc26vg1voMIA7E1LRivX1FZOXALDj8UiKZholpEuhMTohSyWUIi+ykJ084nyGdVMAjc7eQpeFW7xK4qg77tD9UzODLsYYTnWLR1OUCyYrhBj53AQV+P7xJY32LOIdrSCOKhHoe7Vazb6FJkTj/VDQC1+ikPHFJ0Z26KUv8hetojq3fvEj1kp934ekeylC9/s9x6NY5KRVwTCONF0bVGNn5DYWrM6JnXFMbonvrWkaxmlkmAZ0r/H6mTXC/IvbM/smuoVE9/WlczgfpmRtS77Y0Lay4qtKVmBd1zPlre9bvLco5cWennTm4l8enREAuWzF4s8UfZ+dc3OqTLxyLufxsYgq0uX8Mkc7nQUjdpJJZFhk7uIoNz8o/mKhGwk48evH607x5c8f/zkwq5Pii5/Fxe58tbgLG51L2v84jtRNQz8OYWM0F/XZGRK31n7RyUTFdF5k6EQxTgPj6ZnBHbGKNg6KgJQN9OcuQAnxJFa0q9WKhJzFao33luNxL6DSdo21FeBYLoS+7WxPYjzNsaGqqjN0G2Dpm5ubebdE5XMEUG5vb8myjNVqxXq95uc//znGmHkBxEUST5S+O8wPXGuNTqTjKJRkKCbhe8YRcFYWdP3493iBh8NhpubFfx5fcNt2XwydYq1xCQXHjipS8LxK8d4hYSBiyT/1AyZRM5fz9++/Z7IDOvhNSi3WMww9dX2aya+bzRpjNIfDfgbv1us14CjznKY5Z2D9wQthtsGxwf4thGnHjyhtG0PuowrEDHlh2QwvJ0lC09Q4P8y8RaFhuaBykqsjzifiio4PbRxHqqqa7er6oWGxWHB9fc1msyEvRRGcokiBJMvnyjy1Fjeer5xoz5emEjPUhZektZYp5MXc4FKyHl9w3N2Xp1hccJf1wOVHLNIudYlKKbxysz81Ydh0CgowHfSQkYUEkUx8Bp2E2SXw/m4nrrZlWXJ9fT0zwzCOwQ4cm+PzyavxISgfrONQ5Omlvi6wlBVnM4hhoh7l1CjSBDdO7B93NE2N0p4qL8gyGaIorVlut7NyKl47EbOIJ0R8UfFhxmM37srLxRKP7vjw5ARI5mFS1ArGKyF6EnotrVh0LE3Scl4I8fv9EDOIV8GlNvSyLohX6+X/XtYZXkme09j2wWhEM00DXddgXIrWYjKaZQkOz6ke5+i/oijCid0R8yseHj6H5yAa0yxL0KmeycbPnj5Gq3tlHX20rr+6nq+M0U58+0/+iGNTs9uLV7N1Y7CGy2nbINDoRsDz9s1rTqcD+/1ewjvzfNZBxgcZ4egITUdiS13XLBaLOUPCe89qtWKz2cz3Y6xDZsf2cGyPw9nhVCnBEOJLid5LMyU/MRht5pd7WQfE6ymeEJfwc7za4jUWp67xBLlsLyOQVHcyoh+ajmkYKLKc169fs9/v6cZh1iuMdqIfB25vbzkdRWB0OBxmPWrcSPHnisOy6+trXr16NXtdPbt9jNVnBC68srOCqSxLJicua/vTkcmGsErlca6j7ybyLGW1vBbq12HP1FuuN3e0WcvT0xPLsmIMLVXMl4wMp6Zp5oUST4pjgJ2HyVGmOUW1ZLW5wntRRF9fX1MELUR8QSDhL5IXd0ZLI7H01DboUZxbxnFkaqTOKHLRZsQCLjq0xt0l/sxu3p1w9iiy1s66jrh4ok+EMWYeNU9e+BSLZUlmEnAuFNaWPBdm2KGtscMY2tGJUy1TyKqqePX6DXVdc//waZ74TtPEOPWgHCZRPD1IUOk0ThQhIP0PXggzgzYRa91EaVSwwz8cDjw+7fjJn/4Jm+sr7h8f6PueMk3xk8N7xzAIVd3aiaIo6fue/f4QHqYHDGmqv9g1caYRd2/E/6PGsigKxpC5GF9CzJWKXo2XQI9Skir3xY4cJecgBl1MzsIUg0HFuTQx01zcAX/vmogC4fiSowrshx/xOpmZSBdMpngNZiYRw89pnNnJMR0mqsb78exBcUn/A4JSShZY27aziYkxBjs6UpOhvJ4p83/wQrjkuc135CQSt7IseZGldF1H0ws8KyjjEGBZZt+fYRgoS3E0aZsOa8Vh1DuD8/0MQceP2ALG7iT+2e/3oUWtSLOcNMvRJmGcLMM4obRBaUMSIgfjMZ6FYzq+aBV+Lx/S1tUQXg7nOz5SxqMQJ9YisfY4HA6ztd8wDIxDPxeZ0aTisoa4fKZxEksw9zQo3Pjlwotf53A40LQtTScLZLlcz5Bx5IVGW+OoPounqlKKIfAeI7v8WQuhCHE00cV0cF70A9MkqzIVskrbtTPoY/sWYzzGJGF+LtzBh4cHrrZ3OAdJkpHnC9qmw2mZVUQ3trhzLmNygVmIK1L3c3rspcPrDwu7mRMQd+VFVR9TWS9bxPnaGAbsyEy1i7VCfDkiJWvn2kAF/uNl5xBzpWNHcTnSBrlGpmC0MfUDdhqxbhS3ei2u9VKYQpYnTC5hHNVsZQTMtVJEGuMVFg0z6rpG2xyfgJvE8f5ZCyEezz48AIOaW5VhGHBDj0rlXi90MOXudwx9x9C1iNZD+vRvv/6G+88HiqzEe3h6EAMp6+38g0e0MLJzdztJf6mqavZzenx8pFgu5kK2LEtubm5k5BoGKz9cDJEsq2JlrxVF6BKsdywWC9Iso+t7TqcTu92O/e7E09OTiGOspSgK3rx5w7t37+bsS+89j4+P3N7eUuTpfPoZY7i5uZkBrlhrxZMuLtCn49P5KhwnFISMCDmtmqYRhDRNsKF+WCzKeYOKpCDWHTVVVdF1zfw9FosFy1wskQ+7w/MZSrkJkyuvGBxYp3A6x6mSZpD7fLnSaAuJ0iyzlMYv0Ubu1HJxzmV42O8YfM/Qi3I6XSScmo/kpEzjQLlckKpUkL9xxGmFMindZEmcp5smmCbK7RZbdyxWFUPdMzaiMsIpJE09waIo8gKvtUw1R4tzkr/glJaxHBrnHcNoMUlGpoxYn5mE/ammeew5PBwZhp68SDGp4uPv3zG2Lb1J0RPgDfQK32rqQeYioq8o0KoAL2qraepZr1fsx92MvXjvUabEjg1116KNoipyOtdhlKJrB/puoNILTseWpCu4zd/gR0U3SfG8yFdSn4wTbgCXgPEpRSL1U25yml7mD5vrDYfD4XkLIZ4K3gukSWDmmkTN+L1AwUKjim1c5Pldzt4jhS0Wc/G0WVSLueUCZmeV1VrcPeJsIF4T4zjSB0n4LA+7gHwJp1c8spMkEbu9H3xcHtHxI6KLDw8PTMezkFSKQIdz06zWBuYroa5rynVFkhq0TmcBr3ORTaS+4B5ElXNnhSlurQUl9753E/0wUtctzamjO00MvR2xXPcAACAASURBVLCdTXKWGEY+wuUsJF6Pl052XTfOhbUxz7TgXS03EoI1dMgOmri//zQ7fmw2Kx53nyjLIiyAdh6cxBd6CAqdH/3oR3OxFf8sl0v+n/a+pUmy4zrvy9d9V1V3dc80BgMCFEhZkkPyQksv7LVX3vhveuMI/xFHyKZDpESKBGame7ret+4jX16cPFnVEDk2hkujGBMNNgbdVffmzTznO99DKg0En1E/pRSElDhsd5CGfsZkZ6zXaxR1mraFi/1tLqjOZ9Rt86+KW+qtff6duKKM8THEF4/rlM1mg+FxQrdoYIxOF5RihSj+eIvF4haFSRnZQaBbd2iS2YXWGvv9Nsv7pZSY5iGzj/f7LcHOipxbtdYojIYxGt4J6KaAcyCFtfQIgtgFMdIoPXjApGhDFwPm2cJUJYRWlGed7H4AQKdr6IODD5+pfaQzN6IqG1RVA6U0lguf25iqqiCFhvfUL59OZ9wsLvJ5hoyXy2UuyjLIk6aKTtCbK+sqr3AkenY/UiG5qBa5jWTwhIEjZvFyJX49r2CUUYl//SRczwWuh0paa9zc3AD9EcpoihG0FLNblganM5lvFWULITVCiDC4FJM0OicDbS72tJEwE3VYhB4mFhdSmmu6Xs7NmMaRGNKTg3chX2OXHNGsirDBQ0KjKAzgHVwMqMoiW/Byq1lVVbIEdqiqDkJ8ZvvIsi15Rc5QKqDrbhLCV+Lh4QEQIe0CKYXFWQwzmUBWdYVGa+xPR8zJI0FphWCJIWRHl4snAAT5XiF+jP4dTuQRxAuKt2zeFa6p5Pzvcvt7tQtdLwK+cbwQmECzXC4hBvKGpLQ1AeFE3lrLskRRalCKO5FgFk2bd5/JRdhxQkSi380R3hiMI4FkIkTICCxaqqeGgTCE4AKm0cI70lrKJJ6VNgBI7K2CWNch/YkClAojgCl1LnOaVDa6hZFk86eUgNafWSzS9qoRPOUyUZtCv+Tx8RHOUfBW8BFe+xfVOs/FueflsTI/qXxTTaX5l5HBZBqv8uiaz7q2bjJtDEk2d12Jc73wQ1CHZiWX/389FOJFxC0rk20Bas3IQxrQkcyyYoyJR5jCtKSCMWXiAZi08OizNW11NUqeQKFlqRUuNERqC1ViH81CIChGKmsyxkha0ABP/kypFuPdh4G3C4lnfjHYijFCaQHMASFSbuRnLYT9rodSCm/fvsU0TXh+fobWBYQMePPlQ+bX0ZNIljCH05b4A1pjuVpl9GuVGMx1XaPve+wPB7x58wanM0G1xRU9nOnk/KF4K2VgCQDu7u7IE3q1wtu3b1+QRK4XslKKpnu4OJFd8/eEoMKX6fe//e1vk0xvhodHiBFBBKhCIYiI09BDawN3JvLuaGdASfzMP0BJ4jl2bY3l4lIcDyOReBdd+4J46gLlLWz6Ht6H1AbSzMMmf4QMMIlkotnd5s/A5J0QAhrT4Pb+jhTTUqBSCsdzD4+YZzXXpJgftRC8jyjLgnKFU0dw2YaR6gRyESPgxGeLfFYR89bL3+fvLRYLbLdb1CVxEYIApJLQZQFVGBx3+xcJaIUxMFqjLAqEhPxxPgH31ddHAnBhAP3pDfECQ3vv8+g7BEpveXx8T1V9oNzqpqnzMMtaHmR5jOM5717MHKqqFPMDj3oqwUbk1GmQuZaONAiiGkZAQaAqm8xOYiBKqLTAhcBpf8ifsa0u1LO+7yEjtfEqZUvVRQmRciwYdfxTr09do0yMZHZv13UoSg3OZlRKZnqU+IHlPI89GRDixXQ6nQCQ8VOMEbow0IXJN22e5+zSxmd5xSzdXKeoF8La/X6P/X7/og647k6uj4PrHSOzi9JCYCVWjBHaGPJoVCljuiRXdv4aQaP3AE9n9dVCKAoC2eqmRNM0eQHRpLDIR5JWAlLEq/fNZBYFjjBygeIMSGR0Iepce1XyLsNH5DU1z+gSiBLOhuzY9sdenwaUygps7sSKaPoFgMAF+lVKkrFDlICKlAUlBYq6ggdxHE/DGWVT06BHSUhDMcKZ4u0dZJT5OLhdrhKTiXaZeUzKI+chjc49f9/3eP/+PQDgzdsvX/T4vGicvzBz/tjiAC6ROsw3OBx3SThSQ2kB7x2snUiKD0nTPSWgNdUI0VnAG8gYICOA4BDT8UNUQZasSUTv4eYZIQLWOhTawIsA6yjSiOcU1jsIPyMKKgyFiFi0i0vnNc35M3ZNSx6UaTA4DfTw3jQdyKQjQMo/fbs/PXQSGvvdAXVz8f83RlFVLcitxLGNnC5hTIHTvMljY+ccNpsNDocDVivS7jMt7fvvv8fNzQ2cI37i+z/8AVVVYb1e4/b2FtN5gNEaQUrKZ7w6749nCu/+1a9+haIo8NU3X+P+/v5fzQz4K67qgesdgW8+4wi8KPkPm2KG6PITeHkSk+ZRkGVg3/e5vgFw9fcAISMQL9B3UWjEWGKcesBTpIH3AYf9GX6mdBfnIwQU6rYBWRICQUTEOX0+6xCtg9EGVVGmyW8BDQEJga4iVxY/RxSmhoDOlLkfvRCYCkWz8AD2SKTt/zJF897D2QgpVR5+8KDHGJPDtPji81PLPX9RFEByNJ/nGQd/gIxAwW5uc9L6CZmPkNPphOVy+SLO95o4yuillBLXKMIPF8N158ADp2EY0JQdhCyoHZwcXPDQWpEJBQg6DoiIwWOcp7xQpZQQksJEvacFbAp19d4uaqWqquDdGeP5jNnFXBAf+zNY6ANB2lOXPpM7E9YRfUBwRMu3QpLoV2u4mYrLoiigpcLkLlzKP4uhVJYldvs9Iiy6roH3L88mm5RQ1tJFZzIln1lcZN7e3lJifJJ8Symx2WxQ16TZW6/XqAxNzuZxglYqh4Kc3BGFurCW2AXkF7/4RYZYT6cTljerFx0BX3Dv7YubzwuAv17vAsyYgge6roGUF7JJCBe6l0oLnXaJlxmRANJZTkfSq+4uL2Bu9wDAB+AUCaCaXcQ0evJmVCpR/yJcmOCiA1n8eyzL2+zrwD/vWqE9DEP+PrGSLukurI/80QthuaBtz/oSdtYQskC3WGB3PMLuzpDK4DzSh9Va4zSOsOdjxg9WqxXqusU8z9jtOFSb3EP4gwgnAQToqDCPFOSltMBy1UIaSfiFmODFDBklLCacB4W2rfH9h0fq7ZdkORt9AKKHRoSKHjKQm0qUMgdrC3fhMmoQF0AgBWOMM5SPaHSBRVcjJECrMgWK1Zoqc5BUX8oC+48H4gEMHm9+9obO61JBaIWyqTEfLabzgMcP5G3ULRpIKCAIeBuwGxScWCJqD0QLWRCUrU3EfB5xPh8vbGgL+MnBFQKO4wOLCsF5nHpiLE2jg7MRQmh4B0gh4eIZUIAqFIT+zPbx++/fE/ulMHn+fzwSG7ZpmhzaOaSQyqIo8PDwkLdfXrkxxheegNd6hcZQwUikCfp+WV2AIR7TChmTGxlBq8xoZjse/mfeBvkpYe0lX9BrGjpwYWFprbFYLFCWZR5xX+snaLiVwjiGAW1bIESfTMdfYb2+ze0eucwW8L6BRMjGmHwESUkgU1m2ECKiqgqQg9qU+RXTNGFMiuxsvdOWlGdZFBn4mpzPBBUuMDmimb/PIN6n6OyfbB+HYcAwTzC6zIMkANCSgCEtyUDbKFL6X9vpMeDBMwJGGq/7fO99rnrJCOIiOGXK1jU7GLiEiYzjmAI3Dvj48SPevXsH4NIe8lb/Q5bVD2sE3kZ5MbCq+/HxMfs/8Xux1kJJk4rhC5lmtVqkOsqCYggImi6NSlL6y80fhh5R0FQ1whOhMv0RMmYmVFVVuLt7BSEU5tlBKYPV6halKaCEhJaEmPICnucZUQDtokPV1KjbBv1wfrH4+cj8Y69Pk1erEkqaC9PGefgY0feEaPXDGVXZoK4pIPP+/h4fvv8uM3pYpcvG03xDrxXAlDNwOT9DdMAQcjGqdYHlckm8Rsi8ePjmkEBX5/OZn3ZuEaWUOYuR265rKJyt8Zhkst/vYa3Fhw8f8NVXX6WRL80UmrpLOwV9PiKCjLhd38DNIxAjtCQ/MW+TtXAKEpeSai6C2ommfjps85AqxsuAjh4YKq7nOWEHc8DpOKA2hjighcHxPEMgYrHoCGUMHnXXYnfcE/Qv8cKF9ZoO+KMWws+++gsIQcwjay36IZFKNDl6LOs2Q5hCCDw/vnsBrPyQ1Mk34fprkNQLN+3lhgBI2ATtBmzYdTqRJ9Oiu8d6fZtZzswiZhcT3gl4Af9QE8E7jxACj4+PmcnEEPhiscDruzV2ux3qos4trtEl2qqFHSlEwxQKdanwl7/4BuvbOkPCIQSM84RTT9RzoRS0IDOv0c4I/QlRCtSNhrXANEdMk8X5POD5eQutKvQ9GWY+vP4S93dNBtrmMwWToixzRlV/OqFdLhAEuadMziI6hddv30CO04t2+rMWwjVax08xb+3s0xOsg0sh4Junj2iXq8ydux5+1HWdR9PXk0KVAkCvx8hEZi0yX5BvMv8zm3Idj0ccDge8ffsmxf3JvMAA5B1ApJvO3+NFwJ/jh7oE5xyWbYMPH55SVECN4IGyJetcpUx2NZFJimYKhWn2mGaaYCpBk8h5HqGLKvMqhZJwgRanTUabWktoIyFEItU46ve1Mjgee1jrUZiKnGsCpd4f9lvcv3mAlMAwD3h8fI/1wyv0U4+mbdH3R0AKqMG+OIo/ayEUCbM+D0SpjoE0/YfdHsslGVe+f/8eNtDc/Juvf4ai6TLJg8mfVVVhu91is9mgbducyPr8/IxpGhMkfQFjLmNpASEkQlJgG1Og6xZwlqRip9MpD8WklJkwypYyvDP5FIfDvfT10fTFF1/g17/+dS7kHh4e8Jvf/AZ+GvDF6wcAkgi3VQkRBU6HE7RWCNEjeoe/+uu/xu3NAtOwwbJroYQko8u6ybyAAIlpmoFkVNqfBkzjDGlkUlcFnM9jni80dQ0hAspCwdqI3W6Hpu6wXq9xTg8gD++KVAx3XUckoHOP4+lEuVOzxX3b5cT5P0a3/39aCGV5kX3RuNljv99DRpq3ayFRKgkoiUJJyODzlLJtW7LhTwkuxhh8+eWXLxDHaZoQ5jF3GGVJmHzXdfj97//wYhu3s8cUKNRLSrKxeXh4yFUxh3wUpU7q6UuX4ANedA08CAOoWLy7u8Nms8E//uM/YrFYpLkGjYHGcYYUBYqixG57SK5nPSJm/If/+O/xt3/7N+gWFcK5hpIK8IGY3sZBCY2m6XAeybwLUUIogaLRUKVHWWicTid8/91jshlyuFmtkwBmRlnWuL1d4elpxqnfIcJCSyKxwEu0iw7jPKFdUJHeIKKuU+LLYYc3b95AOpEVUZ8NKJVlDSHG9KRKGCNxu1xhmsbMBRRCQAmZMG6q1G9vb3Plr7XGer2+mEheDabW6zVOe4cY+KbMGAaZp39AsrETOo9l6Qmlwo/t/IqiICayMTBGp8VzSUETV8UhF61c0DIS2jQNyctS29XdrLB53gPQKAxRz7uajqSgHd58+QZ/8fXXiN7iuNti3V52IQWRxSRaGbRNReYcAQAEpHLwLuJuvSLamSnQNDTtnSeXPgcBS9bNKCsa9E3TgKIxcN4ieocAKgaZ3eWDh5YKpSkQnEdTVnB+zkfvZy+E94+PUAkbF0JAQKOuScotIYiHLyTKkqhhWkqcJ5fk2JQJxU/itWcB97Ws14OiQGuqRSyGIUAnowoBBcgAykmgUO6+P0Frmcfbq9UK6/U6VdsqFa+XdlHKC35xXSvwgmCY++bmBpvNBsvlMmMfq9UdjC7R9wOqsqMBmB3xV3/1l/j222+x23+EDxeWk0i+iSEExAAobSBVAeUjNCIgFHRggy0kcqnBYkF4ymbeZZzGuYCnpyeyOC4VTqcBt6/eQB+PF62juMxMziNR/kWM0FJi6s9Q4hIW+tlqaO89ZDLJ4uSV82lAnbSF0XtoLVGl7ZlmBUMGYZhcwpI2xtcZ/NhsNqiLCz6gFbOXJMZU7Srpc1fCOMQ02byYrilrVFtwC3n5HD9UL1/PJHgBffhArue73Y4ijE7kQNK2LaQw6E9T1hnwcdK2Lab5iAgHeCCk31WYClAKEQqmrGCDQDAShRCAoKPKe4/p3MNZ8ld0NuB8HrIHA0HHc8qzZooemXFDijy+XywWGc7XUkFCQBuaM4znIe3qIhfEn7UQXr8mJe379+/JnyCxlRmti0FBCbq4++2GbPiLNmP/Hz58yBeMM6WvSZ5d16EyLgFERLMykcK8mAQTPG2Z1EnUiaza4uHhFb744gus1xT3w3gC1wbAhZyqzdVwLLW0PG1s2zYbZPzd3/0dfvWrX1HfLQUeHh7w+LhBDBJ3dw+wNmAYzvj7v/97/PKXv8Q//fOvEaPFX3z7NdToUCnypr67E1BFDesDqrrFYOlYcIGOxs12j3m22I97CGEQgsRm8xG73Q7399S27g/kav/6YY3NZgNjDB6+eI3nwyY/3ec9IYeHLeEGr1/dURcUiR6w2+3yVJSV0p+1EOx5Bixtd272GGBpAqlp9gZIuGSQ5aNCrBeoywqnvocPAcvVChAC1jn4QIoigYuVDuH9NaQqsTm8o7N+vcxp9IXWiJLgVgQHO00Y+i1e3XXoqjXuVhpvHjpIMUAUAkKNCEJiTr4NSGTTYhbQgj4sTQ8DICKkDHDBozRAWQHWnXBzS2LdoFc4+4jF/RrOBfT2SDK/usC3/+ZnsG5MDiaUYGuKAg4ULQglAaVhhEAQVBQaTw40IVoUhUff76EKg8lZEriYAkVd4fsPj9T1aAMXgUIaLG/vISXgInCrKCgl2oj+cMYoiBDbVC1ZB6dhE5TC3du3KD6e8u7s3WfS2cfpDOevLWTo+yG4fPYXqngh8uRVx75HTAFjqXuMEYfDIQ+luGV6/fp1LmaYkMqYAgNETHf75usHfPPNN3jz5g26xYKODn3BCn74EuLyvq7JqkKIPAPxPuaCKo+iG5U6CI0oqfZo6psX3pE8mr/GJqCoTuDnTypFqKMmwwuleFp5OfbowUL+OddnOr13lesQnix2XZcxiXmeX8YI/4DdfT0Z/dELgX9QWZorDN9hnokdSz84Zs2fcw5lq+FTe1ZfRQmP45g9haWgoAtEkqhP05SdxdmTgI2hAGQvR0b9Xr16hdevXxNBJl2EAgWioUlivtFRAPJCYc+CVFxmDzwS599TlmW2uL2AUzIXube3q7zI64Zqp65rEXx8ieuLi/CWPofPfbwtClRVCcSIRdegLDScpeuBGFEWZD3EBXVwHiKSkFXye+JkeWev5iWSFh2SX5P39L303j/1+r+0j+rCPdAiF2F04S7B20pHVEojRgURJWIA5nnC5KgNrLslHqdHxNmhbVu0a3qy2RyjaRqcTqfcEvIYm3eQpiGPJHZ7X6/J2n9OlbNMfsdFJPEoUnHKuxbPMlg1jKsqmhe7tRYfP24QAuBcwKLrMCbL/hgFZKQjTUlgs9lg0RbkuRg9TMFWdzL9UXCJ4ocU8B29h1Q09jZKo6lqNHUBaydsNg/JVX1M/MSQi2EmsvLC1AEQyefJR2qjVbrJETQQBIBxph21KbpUeF52wh+9ECI8Qgwwmmja9GS6rAS+5jDSRRfQEDB1CaNo2x36I7ydUGiChF0CkOq6RvQeJ+vRKQkXA5QkruPsHcZ+zDhEUVfQpkC7XOD+4TW6roUy5ASvdIJmg4PzAtFFxKspo1LEKuKFQFvoxeKenVkO+xPeff8B535EDAL7/R5KcdQhUeT6vseiu8jqSNE1YZqoSg/OIygFrxViAFyip1nnwF7MLviMpVg7QggKLxnHBsdjmRRjp6wSYyJLLrQThuJjQKGpbYeULya1jO2UVYmYGoXrOc6PXgi0e9MkkM/D/b7H+u7m6m+FF2fzeZdykiJglIaIRDUryxK+qi/chIhsccNQsRAiBWK4fCzwRWBp+sPDA6S+II7cFgXvYfEyP0kIgagUQnJBpSPMAfIyxTydzgBkChh7RggkMulPcxaYKGUgQsw35tpPmmuYOS1wKTXELCCUBCL5NU2ThfMeDIbNNqW0uQgpItqmQV9V0Om9Gi1hlIZM5mW8O4QQstKc6wQhBFzqfk6nEyQu+k6tNeYklfuzcATekklouqOLLAJOp+T0FUKip1Oo136/x5f3XycCicBqtUQIaXJndBbLMhA0TRPCmdLKttttPgaEEPAhQGmNw/EI58lyfn13h6quIWKPeR7RNBWenj6gbVvEGFGIi/qJb9RgLbSpUpdCsq9hnjAMtIA/fPiA3/3ud3j8+Iy6btD35/zZx5H4gV23gB0nHI9HWLvCP/zDP+Dtm3s4T090YQ2ivVjuSq1QlqQ58DFgnG3ibEZ472CkQKEMBli0XYXzucRq1cEYBedmrFY3iDFiubjB09MTypLof3x8LFKe1OF4zEd327ZYLpfY7/eYpgltXZMJ2jTkCe1qtfq8hcAsGB6tsr/w1998BdYKsmR9uVzh5uYW7hxzSAYXiteehNcsX2YKc5EWY8ycfOboA8i/q+97nE4n3C5UNutgDmPTNDif+vx7ANIceOfgwkDc3jRFZXVw8Mm5xPqkyJIACAUN3qIsa4zjiKenJ7hpxrfffgsgXjqYQmCaaPi1aErE9D8ECQ47CSEgWAebjil9xZlwzgEC6JoKEivc3d7g+9//ASJQbME8ktvacd5j7M847vaolw2EkpBJl1qWZOd/PB5xu1qhqSogP7wHVE2Xr8+nCsZPMpRiZJtYPm/pzNSqSEAP2eIwcth1HWRi+urCIAp6IpTRgBQIiHDJFn92Np/dvNCYiMnnIzOUrz+AEAJSKxwOB2y329wCIlzOwNIYFFpDS0l/tIY2CvoqYwFAPi7OZwodjTFCq4Jo5HWN4/FIppVABriu7fy5Gi+KAjKSfkFK0jy42Wa9aETIHkkxeiBGeOeQ6jooxU9096IwtHZCkXYzpuTxjme9y8htURQ5tynb9DhP8x8RUZYmxSuPf/Jef1oNHSWJNKIEB1m2bYN5Tt5FQWC5uMF5OGGaLKQcoAoFGSWEFhBBQESBIAIxcaNDTLkFMtBTYSqiwNVpYMUdwzzPCIJsbqAkyqpCs+jQLheQckSATyTXDrvNFjpR3SQAw9R476ClgCi4h5aIYYJKpFSelG42G6oH0qCIuQ3s2tZ1S4iECipJLnDH4xHaUFJuVZfQV94DHhE2pbS44FE1LcG7DrDxyouxLGDdhGHsoSTVAREX0g7tdl3GANbre2zPW/gYICEBKTIFn2167ERxA8xa7pnbOE2fNNP65I5Q1wtoXWGaLKbRI3iJqmzhbIS1AdPk0DQd7u++wKK7RQwKTkSYpkI/j/ASiFriMPRwIkIUGjAKXgIWAV6SOxlT3KfkYXROLBz+HkBkFM6aZJ+iJtGz+WLIiNRzR3hrMZ7PkCGi74/ZfyCm4pbld7/6X/8b7959QFVVeP/+Pb777h1NAdPcnxemUuSLxMUuB3DxUcS+iMYk/UV0EDLCKI22blAVJaQSgA8QIUILicN+A0Sy37XzCCWBb372NQ77PQQC5nGC0Rpt08CoAk3SOiqlILXCw8MDuiXxFZddBwmRsZZCaZz2h6wLZeX0Z+0IPNQxpswfeJ5dQtg6THLCOE4JfVMAXIaUtTEQqd0pqwpK6+xT4HxSGTuXndKYJ8DtEg9IGFwKIWC3o4K11rQ1M9O4qiqYhPxRDFAaLjkPUVEVzSYR1lpYR+zj4/GYugKdK37elruuw29/+y8J5+hQGIPHx0eoxD08HA5Y3bQJbCvgncv2fN47aCEBLaEVYQ18/aybM/h0PB7zLGa326eH4IRpInq6FDELg07TmaD5xN1gow3uWqylCCRjDEptoNIx4oPNVMDPHjrNk8tOHQApx2g0uyK9g7XY7p4vrVpqWbz3aJom964sYOWzmf+u9x7Rj3nBcX3AN/+67+37Hh8+fMBut8Pr20s03pSMv7m+cNZiSsUmU+yjvvAV+77HMM3YbDZ4enrKR8Bk/YsjIcaIN2/e5JkIC3PX6xtM05AsAWooJSAkhXsJIRAytCvJ9V0X8DHkc54K0ZgJuDxVnecZ2+0zHh8fcTr1WC5XINKsyHXBOI5ob1tqFQ8HRE8PTVC0Ozw/fXzBy6yqCpvzPht3f+r1aZ/FhgI+t7/bAADW9Ro+BBxPFJL9/sM7LBYLODfj6Yn4fVVcwgWHOBInT0igUBpunrFcVAAiKs3ewRplWRPKeOgxuAnGSBSFzGdxU5Rwg0XXLXHa9jiEI6Jd4Ze//CWsqyCUwTwPkGUBbypE5bCfZ0w+wpUleqUgY4dpYj8lh93miKcPB+x3Z7jZw82nTK3TiAjzgDAPEC5CeIkCHgYKYZyBfkJtJZ5++x2+urlHtZKQvYXvyoz9P378iHa1QFE3BCo5QCggOIt+v8f9DVnoNd0DJktxA9Ic4GIBGwVuX73CcSCgq5/p6OQJ6fk0wc9UwEoI+MkSS9tLiGjRVg2MUWmH8FjURJixw/mTgNIn4/7+y3/+T5H7/QsAc4IxJoeEv337Fs/Pz3lUXVdrjOM5GWovUdUFhCBOvykErCU27jASFtC1t8mCf5HbRTt77HY7KMVU+pCPAi7g2rbF7e0tuq7NQ5v1ek27S9IazvOI3W6HeVTZP/Hp6Sk/5dfGHCwsyf7ToUdRNECUKE2JcZxx2p8hhMBi0WKeerRtg9vVAvf3a/zbf/c3hFoKgbKpYSOl3rObnFGEPA79GW1Z0c6ka4QQ8PHjR3z33Xd49+7dC4/neZ7x8ePHHDN4Pp+xWBHpZ5omDP2ZYgATz/Hbb34O7z3Opz53GaO32Umlqir81//233983N/1dsLn7nK5fLHNXzOLV6sVYijR98Qu7hYVjGmhlEzDqjH5M/t09q6x6FIk8DBnWvllTnBB73TyDuQw8t32gOOhR1Unn2itECMBRtl+Llg8PT1jGpAdzVlswzkRPM/goRZAx19Tp5bXk0+RMhrdckm+LUyysQAAC8VJREFUDG2DYTySgEQLRBnxm1//E0xZkLIZIFhcG0hJu5B3AdFHCCHhA3UVc6BZxrt37/D09HRVsyg8PT1ddoFkO7RcLnMdgpBY0fKSOsuhasM0IqQF4uVFmX09Jf5RC4EhVUYYhRBYrVYUR5cq0GtJGI2YdzDG4P5+nShrMeH5BQxEqmJTpF6hYCeN4AP6ngw02A/w/v4+o5oZsVMBPkyIQWOeHUIYU6DVEaZQOJ36tCAikU+FoB0gXIgpXAzyReGfzQTYbLlraozjjGGYcFID4EAh6IVCiBHjPKMoDYZ5wryb8fj0jC+//BLrV/dQuyMe3nyBBhpT2h1FWmxutlhUAuPk8d2H77KYZrvdZpdXKWWu8ruuy9deCIH5Sm2+Xt1kbGE4n3OSjjEGuq6BEFF2TW5FP7tY5OKt6zoMw4CPH4lFw8jhYrGAMQavXr1CjBHPz89oGkLMpFKpb+XxrIBUbLlD1LJxmGEneoqVLOD8DPISIosdqZJYNd1U3hE+vKNE2qoigut+v4U/eEyjTZpM2uap3TSw3kJpitC1NtHE5gGzFVmFxfE31lo0bYXnwxGFLhGVBLSCFx6ikNju95gxQbcVBIDt4Ug0+Nt7PG8P2OyOmJ3F//ifv4JNus0YI4wmB3ZvHe7Xd5iGAWfQwqTZS8SiafOs5dX6DgAVucv1XbYk/vrrrzMIxgUyD9e+//77fHyqtEPwUcjH4WctBLZpYSURS7J41WpNdGyusrfbLZQqEGJAVTQI4cJnKIoCh+Q9TJWyoiCOKBM2QBh5qAKM0dDaJNcxkSZyRxKUKKBtFvmJoeq4gfcWnB+NKBGT4TWLbYDL8cbvnXcxHt7s93tISXFFShlUTZ12DoH5NON59wwRIoRssFosMI4DjueeFlmRElWcRZV0odZ6CKFI+hYlfCQDjHGcMYwzQnFhVjN5hBzYOzLFihF3d3fZ0qdt2yzA4d2Np5Iq8Sj4WGT4f7lc5qCvz9Y13N7e5jd0c3OD29vbvKWyOJSZR2VZ4quvvkLfj1lN/PHjE96+fYthILHqYrnI9vfzPONwOEHEJhd+1lqa2SuZdoQKzl3SV5iz4F1iRfmLp4HWMl1EGloZTWokmsod83t1zqahVwkpBXa7fQKESrRtk2BjDT9ETLOFd5Q3IbWEiXSRy6pAP/S4Wd5gvb7DbrfLmYvLpoZUCt89vieB6s0KYpwQaCSYwZ2bmxv0bsjFNwAE71EYA60UqiTf2242l7F9jPjD73+fZx0wBqcEMz8+PeHnP/85PcDJB8pfLfo/awzN5821symPRNk9jGVnAOMDArvdLlvgsNkVV8JKGjSNyD9vv53B/EepLuPjYRgyC0prlcOvEUke5k5zPttXK6Kr3d6uCCH88H0+RxnOZZMsfvLyk5S6hmtNpvce9/evSd1sKZPaOYfnj494/fp1thXsj31+yqQlhXMTGqxuiM4WpcgYiptmzJaeTJ/mCcEgM5apG1ngdDpBa50DOLbbbdaRMk7DiCvrOoQgj0rOvua6ap5n6K7L85XPjvJhsIMvJF8o5gDw9K+qKiwWiwwiscPnMaly3759m9si+hkC00hpJYvl8kpyzyJWh7r+AgCw2+1wmCbqSKLEPHtMw45o9BWdh4fDAbt9j6+//hplmaxpEeC9w+GwTc5wQEyRAEpJeE+G1TT6jXDuknkwzyMaRT83BoeqKtE2Fd5+8UB1ijG4X99BQWK3PeB8HvHlm1e0S04jHjePgBIwhcbs6MZEESAUoCuNShlILdCnuJ+c5OZDjkqy4wQFgYf7V2jbNh/DDC5dHyV932N1c0O77XwJRnXe4fn5OQt4/gylU5mp3yxv5xExO4zzQITt6W5vb7FYLPKkjs9oAkXoWKGiRaJpOlg3AMLB+wv66JzLudKUAkNTTkQNajgCpmnG6XSA0tTJ1M0tdrstlssOCdmGkBFd2+Rx83Xby13E9ZCLz1chBCQUbm9ukmQ9IDoPoyUEqM3cPO4Q07SxLitYO6OoCvjocdrvsFzfQhk6Nrs0BwhGw2qF6DzZ/5cltttt5mhwJsW1cpl3ND5SuqalpD2tSHWWpH5CSoo2TsO7KIDpPGHVtC+ExJ+1EFarVa5W+Yzh0e01hQpApkpJBfTnE9pmgcViAaUUnp+fc2XLimWGnseJvAEiPIQUEJL+3ePjIxaLVVo4CtZSHkJ+40YigmhqWpPRxvHYoywNZstsIWCxaPH8cf+iauaCEbioo6+ZTTFG7Pd7fPF6DSMFxmmAtTOCtzhsdygUScqU0lBaI3qHj5tnapcVnd9VVZFfcmrdqoJ2PSXkZZKp6CFibIZxAwa3+L/lqB5jDIKjbd9Zl80xeBTPtoNk10uLvtZFdkr5M6hqIiNtfKOZnp6p27gYV0opsd+TYyqDM0oRd6DrusxMZjscApYujilaSyhFT8SHDztoXRAA433SR0oYUyKCnl4q+GRSBE1wfoZ15HtsjM67Fy2miwD2WuDChSJ/Bv48bpqJYuZGzNOECItCKUxSYhrOKIqS8iudgI0B2kjMdoQWBZquxjCRmYjUAuN4hhARUggUSqMqC1grYOeQPR1EGibxTbs2zWyaJnUyCvvtLtcJh8MBLtJOEQFUssn/DYedz6mO+bNqhHfv3mUbfIC4d9RzV2kSOcNZOncFgOBnRCFQVUtYK3A6nWGMhZYSTVVh6E+o2xbezxB+xnTqEUyZznuFeQqIkZ6GZdcgeovCFLi/oZZVJxRttOSuZrSGVIQjhBDQlCXOxwO67gZSaIzjhO3pDMgJ3s5wIGS073s6CpTCbvMRd3d3qKoKT08UHeTmCZUpIPyM8dTD2hlV20AZg+W6xs3NDf75X/4ZtaB0tWKtcbf6Ev3hSE+miChdgLMWMZBCy9uA3WGPqunwT0+/xcObN3CTRb2g9PfT6YTo6f1NwwgfA4IAmuUCu3nA4/eUBVkrIuqUNysMJ4ryWa5W8NwNJe6Fs6TNmEGLQqXB1mctBC4Q+SuLM+fZXvB6oTMCCQCTZcEI9bllSU8N+xmwr5L3HgIB7brMeEWhL9lHOm3XjIjN85xZux4yIYE1HUX9/gXeMc8zYrCYphkxCLSL4oWpFD+FMcYsgzfGZAMO7z3sPORxL+8gUgJ1e3nq+KjjM5gZS6UpoAsJO9Pvnyabk3KZvs/o5jAMKJWmJ17I3I6HEOCRgskL0ndWSsINNgt3+RhzzmXE0dvpBTbRJFf7a7nhj14I1+co9aIi+fhdDDOZEZxHrEmxwxW4MQYu+kQC7XJtsVwu0TYVDpPN4AcfHUqpHLYR3MX/iD8QorhoMGXMxSmfi+M4IQYB7wOk0LnV4lH3NfuZPx9T7Xj7XCwWeWE5Z5N24JImx20hcQ+Tj3Pq6bVUKNKF91wPmEvORNu2uQObpgm6FNmczFqa7FrvMNqkq7A0h4FK9r2Jt1Fq4rrxQ6q1xpwMwpnEwwFgvPA/ayEwzfz+/j7NCIDtdosQLnRyo4v8VIQQoMzFwaso6UkMbs4uKqyI4sUyjnMujFiwycMT5udnLEPS7wwuJGLJAREeTUO/h6NyOPVEKQ3vIo79xxcXg6VzIQQ8Pj7CeyKq8E5xe3ub6OzEPu66FkVdQYiIzY4iepbLJWkZQ0BZmrwD8sOjlIKXErOnHW11ewNdGDhPxlaTtei6Lu+G0zQhOJ8XtTJENQvDOQeV6rJAlP5C2nH08DRNA2fn5FldZO8HhswvD/JnLoS6pjEpZyYpRX0o4/MsAecnitoWhn0rVCmIm0kkVWEyRYxuSsjysbIsYac5o2h9+jBKXGx/Gc8omy61WZpEOOESo0eLkI4sKRXsPF492S5zFXkx8k7BxTBvu1V1WdwApcaG4HLXVNRFvshs0AGZ7IXT9ebi85p5NZ5HKEG7gxYqFaycBE/BIIfDId/4fhoRrEs8zwCT2vUQKCmHFzjb/+k0seX3eXd3l1v/Tw2dPslH+On1/8/rk+TVn17//7x+Wgg/vQD8tBB+eqXXTwvhpxeAnxbCT6/0+mkh/PQCAPwfhQOwI0t2C2EAAAAASUVORK5CYII=\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# 测试一下，识别当前目录下的test.jpg文件\n",
    "import matplotlib.pyplot as plt \n",
    "from keras.preprocessing import image \n",
    "from keras.models import load_model\n",
    "\n",
    "model = load_model('./cats_and_dogs_small_2.h5')\n",
    "image_path = r'./test_data/35.jpg'  # 这里是要被测试的的图片文件地址\n",
    "original_image = image.load_img(image_path)\n",
    "\n",
    "img = image.load_img(image_path, target_size=(150, 150))\n",
    "x = image.img_to_array(img) \n",
    "x = x.astype('float32') / 255 \n",
    "x = x.reshape((1, ) + x.shape) \n",
    "\n",
    "res = model.predict(x)\n",
    "res = res[0][0]\n",
    "\n",
    "text = 'cat'\n",
    "if res > 0.5:\n",
    "    text = 'dog'\n",
    "plt.imshow(original_image)\n",
    "plt.axis(\"off\")\n",
    "plt.text(30, 40, text, fontdict=dict(fontsize=30, color='r',\n",
    "            family='monospace',#字体,可选'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'\n",
    "            weight='bold',#磅值，可选'light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black'\n",
    "            )#字体属性设置\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}